{"id":1860,"date":"2023-07-19T02:42:28","date_gmt":"2023-07-18T19:42:28","guid":{"rendered":"http:\/\/stat.sci.kmutnb.ac.th\/?p=1860"},"modified":"2026-06-10T15:44:43","modified_gmt":"2026-06-10T08:44:43","slug":"yupaporn-areepong-en","status":"publish","type":"post","link":"https:\/\/stat.sci.kmutnb.ac.th\/?p=1860&lang=en","title":{"rendered":"Professor Yupaporn Areepong, Ph.D."},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1860\" class=\"elementor elementor-1860\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0a32020 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0a32020\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-d971929\" data-id=\"d971929\" 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.elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h4 class=\"elementor-heading-title elementor-size-default\">Professor Yupaporn Areepong, Ph.D.<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf13cc7 elementor-widget elementor-widget-heading\" data-id=\"cf13cc7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Specialist : Statistical Process Control, Sequential Change-point Analysis, Forecasting and Time\nSeries Analysis, Multivariate analysis<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-5229df0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5229df0\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-300ebd6\" data-id=\"300ebd6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f88bdc3 elementor-widget elementor-widget-text-editor\" data-id=\"f88bdc3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.14.0 - 26-06-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>Current Position <br \/><\/strong><\/p><p>Lecturer of Applied Statistics,<br \/>King Mongkut\u2019s University of Technology North Bangkok<\/p><p><strong>Management Position<\/strong><\/p><p>Head of Department of Applied Statistics, <br \/>King Mongkut\u2019s University of Technology North Bangkok<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c3bb875\" data-id=\"c3bb875\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8e00692 elementor-widget elementor-widget-text-editor\" data-id=\"8e00692\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Contact <br \/><\/strong><\/p><p>Department of Applied Statistics, <br \/>The Faculty of Applied Science,<br \/>King Mongkut\u2019s University of Technology North Bangkok<\/p><p>Phone : +66-2555-2000 Ext. 4903<\/p><p>Fax : +66-2585-6105<\/p><p>E-mail : <a href=\"mailto:yupaporna@kmutnb.ac.th\">yupaporn.a@sci.kmutnb.ac.th<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-d3e6f33\" data-id=\"d3e6f33\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0317e12 profile elementor-widget elementor-widget-image\" data-id=\"0317e12\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.14.0 - 26-06-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"380\" src=\"https:\/\/stat.sci.kmutnb.ac.th\/wp-content\/uploads\/2023\/07\/Yupaporn.png\" class=\"attachment-large size-large wp-image-933\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section 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.elementor-tab-title{width:100%}.elementor-widget-tabs.elementor-tabs-alignment-stretch.elementor-tabs-view-vertical .elementor-tab-title{height:100%}.elementor-tabs .elementor-tab-mobile-title{display:none}}<\/style>\t\t<div class=\"elementor-tabs\">\n\t\t\t<div class=\"elementor-tabs-wrapper\" role=\"tablist\" >\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1371\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-1371\" aria-expanded=\"false\">Education \/ Experience<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1372\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1372\" aria-expanded=\"false\">Publication \/ Academic<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1373\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1373\" aria-expanded=\"false\">Research<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1374\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1374\" aria-expanded=\"false\">Other Activities<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"elementor-tabs-content-wrapper\" role=\"tablist\" aria-orientation=\"vertical\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-1371\" aria-expanded=\"false\">Education \/ Experience<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1371\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1371\" tabindex=\"0\" hidden=\"false\"><h2>Education<\/h2><table style=\"width: 100%; height: 96px;\" width=\"100%\"><thead><tr style=\"height: 24px;\"><td style=\"height: 24px;\">Year of Graduation<\/td><td style=\"height: 24px;\">Qualification<\/td><td style=\"height: 24px;\">University<\/td><\/tr><\/thead><tbody><tr><td style=\"height: 24px;\">2552<\/td><td style=\"height: 24px;\">Ph.D. (Mathematical Science)<\/td><td style=\"height: 24px;\">University of Technology Sydney Australia<\/td><\/tr><tr><td style=\"height: 24px;\">2543<\/td><td style=\"height: 24px;\">\u0e2a\u0e15.\u0e21. (\u0e2a\u0e16\u0e34\u0e15\u0e34)<\/td><td style=\"height: 24px;\">\u0e08\u0e38\u0e2c\u0e32\u0e25\u0e07\u0e01\u0e23\u0e13\u0e4c\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22 \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22<\/td><\/tr><tr><td style=\"height: 24px;\">\u00a02540<\/td><td style=\"height: 24px;\">\u0e27\u0e17.\u0e1a. (\u0e2a\u0e16\u0e34\u0e15\u0e34)<\/td><td style=\"height: 24px;\">\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e0a\u0e35\u0e22\u0e07\u0e43\u0e2b\u0e21\u0e48 \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22<\/td><\/tr><\/tbody><\/table><p>\u00a0<\/p><h2>Experience<\/h2><table style=\"width: 100%; height: 96px;\" width=\"100%\"><thead><tr style=\"height: 24px;\"><td style=\"height: 24px;\">Year<\/td><td style=\"height: 24px;\">Position \/ Department<\/td><\/tr><\/thead><tbody><tr><td style=\"height: 24px;\">1 \u0e15\u0e38\u0e25\u0e32\u0e04\u0e21 2563 \u2013 \u0e1b\u0e31\u0e08\u0e08\u0e38\u0e1a\u0e31\u0e19<\/td><td style=\"height: 24px;\">\u0e23\u0e2d\u0e07\u0e1a\u0e23\u0e23\u0e13\u0e32\u0e18\u0e34\u0e01\u0e32\u0e23 \u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23 Thailand Statistician<\/td><\/tr><tr><td style=\"height: 24px;\">15 \u0e1e\u0e24\u0e29\u0e20\u0e32\u0e04\u0e21 2562 &#8211; \u0e1b\u0e31\u0e08\u0e08\u0e38\u0e1a\u0e31\u0e19<\/td><td style=\"height: 24px;\">\u0e2b\u0e31\u0e27\u0e2b\u0e19\u0e49\u0e32\u0e20\u0e32\u0e04\u0e27\u0e34\u0e0a\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c \u0e21\u0e08\u0e1e.<\/td><\/tr><tr><td style=\"height: 24px;\">1 \u0e21\u0e01\u0e23\u0e32\u0e04\u0e21 2560 &#8211; \u0e1e\u0e24\u0e29\u0e20\u0e32\u0e04\u0e21 2562<\/td><td style=\"height: 24px;\">\u0e23\u0e2d\u0e07\u0e2b\u0e31\u0e27\u0e2b\u0e19\u0e49\u0e32\u0e20\u0e32\u0e04\u0e27\u0e34\u0e0a\u0e32\u0e1d\u0e48\u0e32\u0e22\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23 \u0e20\u0e32\u0e04\u0e27\u0e34\u0e0a\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c \u0e21\u0e08\u0e1e.<\/td><\/tr><tr><td style=\"height: 24px;\">1 \u0e21\u0e34\u0e16\u0e38\u0e19\u0e32\u0e22\u0e19 2553 \u2013 2559<\/td><td style=\"height: 24px;\">\u0e1c\u0e39\u0e49\u0e0a\u0e48\u0e27\u0e22\u0e2b\u0e31\u0e27\u0e2b\u0e19\u0e49\u0e32\u0e20\u0e32\u0e04\u0e27\u0e34\u0e0a\u0e32\u0e1d\u0e48\u0e32\u0e22\u0e2a\u0e48\u0e07\u0e40\u0e2a\u0e23\u0e34\u0e21\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22\u0e41\u0e25\u0e30\u0e1a\u0e23\u0e34\u0e01\u0e32\u0e23\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23 \u0e20\u0e32\u0e04\u0e27\u0e34\u0e0a\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c \u0e21\u0e08\u0e1e.<\/td><\/tr><tr><td style=\"height: 24px;\">1 \u0e1e\u0e24\u0e28\u0e08\u0e34\u0e01\u0e32\u0e22\u0e19 2552 &#8211; \u0e1b\u0e31\u0e08\u0e08\u0e38\u0e1a\u0e31\u0e19<\/td><td style=\"height: 24px;\">\u0e40\u0e25\u0e02\u0e32\u0e19\u0e38\u0e01\u0e32\u0e23\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22\u0e27\u0e34\u0e08\u0e31\u0e22\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c<\/td><\/tr><tr><td style=\"height: 24px;\">6 \u0e21\u0e34\u0e16\u0e38\u0e19\u0e32\u0e22\u0e19 2555 \u2013 \u0e1b\u0e31\u0e08\u0e08\u0e38\u0e1a\u0e31\u0e19<\/td><td style=\"height: 24px;\">\u0e40\u0e25\u0e02\u0e32\u0e18\u0e34\u0e01\u0e32\u0e23\u0e2a\u0e21\u0e32\u0e04\u0e21\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e41\u0e2b\u0e48\u0e07\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22<\/td><\/tr><\/tbody><\/table><h2>\u0e1b\u0e23\u0e30\u0e27\u0e31\u0e15\u0e34\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e47\u0e19\u0e27\u0e34\u0e17\u0e22\u0e32\u0e01\u0e23<\/h2><ul><li>\u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e1e\u0e34\u0e40\u0e28\u0e29 \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e1e\u0e23\u0e30\u0e08\u0e2d\u0e21\u0e40\u0e01\u0e25\u0e49\u0e32\u0e18\u0e19\u0e1a\u0e38\u0e23\u0e35<\/li><li>\u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e1e\u0e34\u0e40\u0e28\u0e29 \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e28\u0e23\u0e35\u0e19\u0e04\u0e23\u0e34\u0e19\u0e17\u0e23\u0e27\u0e34\u0e42\u0e23\u0e12<\/li><li>\u0e27\u0e34\u0e17\u0e22\u0e32\u0e01\u0e23\u0e1a\u0e23\u0e23\u0e22\u0e32\u0e22\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e42\u0e1b\u0e23\u0e41\u0e01\u0e23\u0e21 SPSS for Windows \u0e2b\u0e31\u0e27\u0e02\u0e49\u0e2d \u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e1e\u0e2b\u0e38 (Multivariate Analysis)<\/li><\/ul><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1372\" aria-expanded=\"false\">Publication \/ Academic<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1372\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1372\" tabindex=\"0\" hidden=\"hidden\"><h2>\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e15\u0e35\u0e1e\u0e34\u0e21\u0e1e\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e19\u0e32\u0e19\u0e32\u0e0a\u0e32\u0e15\u0e34<\/h2>\n<ol>\n \n \t<li>Supharakonsakun, Y.,Silpakob, K.,Areepong, Y. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105033466631?origin=resultslist\">A Data-Driven SPC Framework for Monitoring and Forecasting Global Temperature Trends<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Hightech and Innovation Journal, <\/a>7(1), pp. 194\u2013211<\/li>\n \t<li style=\"text-align: justify;\">Phanthuna, P.,Areepong, Y. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105032406507?origin=resultslist\">Change-Detected ARIMA (1,1,1) Time Series Using the Approximated and Exact ARL of the MEWMA Scheme<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Malaysian Journal of Fundamental and Applied Sciences, <\/a>22(1), pp. 215\u2013233<\/li>\n \t<li>Karoon, K.,Areepong, Y. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105028530444?origin=resultslist\">Capability of New Modified EWMA Control Chart for Integrated and Fractionally Integrated Time-Series: Application to US Stock Prices<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Symmetry, <\/a>18(1), 5<\/li>\n \t<li style=\"text-align: justify;\">Neammai, J.,Areepong, Y.,Sukparungsee, S. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105027460688?origin=resultslist\">An Efficiency of DMEWMA Control Chart to Monitor Changes in Process Mean on First Order Moving Average Model with Application to Daily Natural Gas Data<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Thailand Statistician, <\/a>24(1), pp. 187\u201320<\/li>\n \t<li>Muangkeaw, C.,Areepong, Y.,Sukparungsee, S. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105031922921?origin=resultslist\">Numerical Integral Equation Method for Monitoring and Change Detection in ARX-Based DEWMA Control Chart<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Wseas Transactions on Systems, <\/a>25, pp. 90\u2013105<\/li>\n \t<li>Sudsutad, W.,Areepong, Y.,Sukparungsee, S. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105030049507?origin=resultslist\">Mixed exponentially weighted moving average \u2013 double moving average control chart base on sign statistic and its applications<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Aims Mathematics, <\/a>11(2), pp. 4479\u20134521<\/li>\n \t<li>Neammai, J.,Areepong, Y.,Sukparungsee, S. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105028271338?origin=resultslist\">Detecting Changes in the Mean of an Integration and Fractionally Integrated MA Process on Double Modified EWMA Control Chart<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Applied Science and Engineering Progress, <\/a>19(1), 7846<\/li>\n \t<li>Phantu, S.,Areepong, Y.,Sukparungsee, S. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105027751361?origin=resultslist\">Comparison of the Effectiveness of Detecting Variability between Parametric and nonparametric Moving Average Control Charts<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Engineering Access, <\/a>2026, 12(1), pp. 39\u201350<\/li>\n \t<li>Areepong, Y.,Peerajit, W. (2026), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105027169244?origin=resultslist\">Enhancing the Detection Power of CUSUM Charts for Changes in the Mean of the Long-Memory ARFIMAX Model with Exponential White Noise<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Engineering Technology and Applied Science Research, <\/a>15(6), pp. 29103\u201329112<\/li>\n \t<li>Areepong, Y.,Karoon, K. (2025), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105025927037?origin=resultslist\">Evaluating Sensitivity of Double EWMA Chart for ARL Under Trend SAR(1) Model and Applications<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Emerging Science Journal, <\/a>9(6), 3362\u20133381<\/li>\n \t<li>Supharakonsakun, Y.,Areepong, Y. (2025), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105025966096?origin=resultslist\">A Novel Statistical Process Control Approach for PM2.5 Monitoring Using Time Series Modeling<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Emerging Science Journal<\/a>,\u00a09(6), 2946\u20132964<\/li>\n \t<li>Saesuntia, P.,Areepong, Y.,Sukparungsee, S. (2025), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105024608684?origin=resultslist\">A Robust TEWMA\u2013MA Control Chart Based on Sign Statistics for Effective Monitoring of Manufacturing Processes<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Mathematics, <\/a>13(23), 3789<\/li>\n \t<li>Neammai, J.,Sukparungsee, S.,Areepong, Y. (2025), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105023670706?origin=resultslist\">Analytical Assessment of the DMEWMA Control Chart for Detecting Shifts in ARI and ARFI Models with Applications<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Symmetry, <\/a>17(11), 1889<\/li>\n \t<li>Areepong, Y.,Karoon, K. (2025), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105026275626?origin=resultslist\">Evaluating the Performance of Extended EWMA Control Chart for Detecting Changes in Seasonal AR with Trend Models: An Application to Commodity Price Series<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Iaeng International Journal of Computer Science<\/a>, 52(10), pp. 3845\u20133861<\/li>\n \t<li>Sudsutad, W.,Areepong, Y.,Suparungsee, S. (2025) <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105030306198?origin=resultslist\">Nonparametric Mixed Moving Average\u2013Exponentially Weighted Moving Average Control Chart with Applications<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Lobachevskii Journal of Mathematics<\/a>, 46(10), 5292\u20135311<\/li>\n \t<li>Saesuntia, P.,Areepong, Y.,Sukparungsee, S. (2025), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105025153298?origin=resultslist\">Combining a Moving Average with a Triple EWMA Chart to Improve Detection Performance<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Emerging Science Journal, <\/a>9(5), pp. 2367\u20132383<\/li>\n \t<li>Areepong, Y., Karoon, K. (2025), <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105022831679?origin=resultslist\">Exact Run Length Sensitivity of DEWMA Control Chart Based on Quadratic Trend Autoregressive Model<\/a>, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;origin=resultslist\">Hightech and Innovation Journal, <\/a>6(3), pp. 846\u2013862<\/li>\n \t<li>Talordphop, K., Areepong, Y., Sukparungsee, S. (2025), Enhancing Sensitivity of Nonparametric Tukey Extended EWMA-MA Charts for Effective Process Mean Monitoring, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105017320963?origin=resultslist\">Symmetry<\/a> , 17(9), Article number 1457<\/li>\n \t<li>Areepong, Y., Karoon, K. (2025), Exact Run Length Sensitivity of DEWMA Control Chart Based on Quadratic Trend Autoregressive Model, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105022831679?origin=resultslist\">HighTech and Innovation Journal<\/a>, 6(3), 846 \u2013 862.<\/li>\n \t<li>Kraichok, A., Areepong, Y., Sukparungsee, S. (2025), Explicit Formulas of Average Run Length for Triple Moving Average Control Chart to Monitor Changes in Mean Parameter of Normal and Non-normal Process, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105003559176\">Applied Science and Engineering Progress<\/a>, 18(2), Article number 7596.<\/li>\n \t<li>Neammai, J., Sukparungsee, S., Areepong, Y. (2025), Explicit Analytical Form for the Average Run Length of Double-Modified Exponentially Weighted Moving Average Control Charts Through the MA(q) Process and Applications, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/85219067157\">Symmetry<\/a>, 17(2), Article number 238.<\/li>\n \t<li>Chananet, C., Areepong, Y. (2025), Study on Sensitivity of EWMA and GWMA Control Charts for Detecting Shift with Fast Initial Response, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/85216392242\">WSEAS Transactions on Business and Economics<\/a>, 22, 157 \u2013 167.<\/li>\n \t<li>Sukparungsee, S., Areepong, Y. (2025), The Exact Solution of ARL using an Integral Equation on the DMEWMA Chart for the SAR(P)L Process for Mean Shift Detection, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105005423306\">WSEAS Transactions on Systems<\/a>, 24, 388 \u2013 402.<\/li>\n \t<li>Areepong, Y., Sukparungsee, S. (2025), Integral Equation Method for ARL on New Modified EWMA Chart in Change-Point Detection Problems, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105003082552\">WSEAS Transactions on Mathematics<\/a>, 24, 268 \u2013 288.<\/li>\n \t<li>Karoon,K., Areepong,Y. (2025), The Efficiency of the New Extended EWMA Control Chart for Detecting Changes Under an Autoregressive Model and Its Application, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/85215810703\">Symmetry<\/a>, 17(1), Article number 104.<\/li>\n \t<li>Makaew, S., Areepong, Y., Sukparungsee, S. (2025) Average Run Length in TEWMA Control Charts: Analytical Solutions for AR(p) Processes and Real Data Applications, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105007969217\">CMES &#8211; Computer Modeling in Engineering and Sciences<\/a>, 143(2), 1617 \u2013 1634.<\/li>\n \t<li>Phantu, S., Areepong, Y., Sukparungsee, S. (2025), On Designing of Modified Exponentially Weighted Moving Average Control Chart based on Sign Rank for Zero-Inflated Data, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105001449492\">Science and Technology Asia<\/a>, 30(1), 158 \u2013 176.<\/li>\n \t<li>Talordphop, K., Areepong, Y., Sukparungsee, S. (2025), An empirical assessment of Tukey combined extended exponentially weighted moving average control chart, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/86000097906\">AIMS Mathematics<\/a>, 10(2), 3945 \u2013 3960.<\/li>\n \t<li style=\"text-align: justify;\">Puengpapat, P., Sukparungsee, S., Areepong, Y. (2025), An Approximation of ARL of the DHWMA Control Chart for MA(q) Process using the Numerical Integral Equation Method, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105007644355\">WSEAS Transactions on Business and Economics<\/a>, 22, 1100-1110<\/li>\n \t<li>Sunthornwat, R., Areepong, Y., Sukparungsee, S. (2025), Analytical Explicit Formulas of Average Run Length of DEWMA Control Chart based on Seasonal Moving Average Process, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/85214390968\">WSEAS Transactions on Systems<\/a>, 24, 1-15.<\/li>\n \t<li>Mongkoltawat, P., Areepong, Y., Sukparungsee, S. (2025), Exact Average Run Length Evaluation on a Two-Sided Extended EWMA Control Chart for the Moving Average Process, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105002481743\">WSEAS Transactions on Systems<\/a>, 24, 142-155.<\/li>\n \t<li>Phantu, S., Kraichok, A., Areepong, Y., Sukparungsee, S. (2025), Derivative Closed-Form Formula for Average Run Length of Triple Moving Average Chart for Attribute Data, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/105007074448\">WSEAS Transactions on Systems and Control<\/a>, 20, 135-150.<\/li>\n \t<li>Muangngam, T., Areepong, Y., Sukparungsee, S. (2024) Performance Evaluation of Extended EWMA Chart for AR Model with Exogenous Variables, <a href=\"https:\/\/www.scopus.com\/pages\/publications\/85214493157\">HighTech and Innovation Journal<\/a>, 5(4) 901-917.<\/li>\n \t<li>Areepong, Y., Peerajit, W. (2024), Enhancing the Ability of the EWMA Control Chart to Detect Changes in the Mean of a Time-Series Model, Malaysian Journal of Fundamental and Applied Sciences, 20(6), 1420\u20131439.<\/li>\n \t<li>Doktoei, P., Areepong, Y., Sukparungsee, S. (2024), Average Run Length Approximation on a Double Exponentially Weighted Moving Average Control Chart through the Numerical Integral Equation Approach, Thailand Statistician, 22(4), 926\u2013938.<\/li>\n \t<li>Saengsura, N., Areepong, Y., Sukparungsee, S. (2024), Distribution-free Mixed CUSUM-MA Control Chart to Detect Mean Shifts, Lobachevskii Journal of Mathematics, 45(9), 4378\u20134386.<\/li>\n \t<li>Saengsura, N., Areepong, Y., Sukparungsee, S. (2024), Distribution-free Mixed CUSUM-MA Control Chart to Detect Mean Shifts, Lobachevskii Journal of Mathematics, 45(9), 4378\u20134386.<\/li>\n \t<li>Areepong, Y., and Kotchaporn, K. (2024), Developed ARL by Integral Equation Solutions to Monitor Changes under Autocorrelated Data for the DEWMA Chart,\u00a0 IAENG International Journal of Applied Mathematics, 54(8), 1631\u20131642.<\/li>\n \t<li>Areepong, Y., and Kotchaporn, K. (2024) Detection capability of the dewma chart using explicit run length solutions: A case study on data of gross domestic product, Engineering Letters, 32(7), 1300-1312.<\/li>\n \t<li>Phantu, S., Chananet, C., Areepong, Y., and Sukparungsee, S., (2024) Development of DMA Control Charts within Range to Enhance Detection of Changes in Process Variation, Engineering Letters, 32(7), 1465-1475.<\/li>\n \t<li>Phantu, S., Chananet, C., Areepong, Y., and Sukparungsee, S., (2024) Explicit Formulas of Average Run Lengths of Moving Average-Range Control Chart, Thailand Statistician, 22(3), 618-623.<\/li>\n \t<li>Sunthornwat, R., Areepong, Y., and Sukparungsee, S., (2024) Evaluating the Performance of Modified EWMA Control Schemes for Serially Correlated Observations, Thailand Statistician, 22(3), 657-673.<\/li>\n \t<li>Phanthuna, P., Areepong, Y., and Sukparungsee, S. (2024) Performance Measurement of a DMEWMA Control Chart on an AR(p) Model with Exponential White Noise, Applied Science and Engineering Progress, 17(3), 1-12.<\/li>\n \t<li>Kotchaporn, K. and Areepong, Y. (2024) Enhancing the Performance of an Adjusted MEWMA Control Chart Running on Trend and Quadratic Trend Autoregressive Models, Lobachevskii Journal of Mathematics, 45(4), 1601-1617.<\/li>\n \t<li>Sunthornwat, R<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">.<\/a>, Areepong, Y., and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, (2024) The Development and Evaluation of Homogenously Weighted Moving Average Control Chart based on an Autoregressive Process, HighTech and Innovation Journal, 5(1), 16-35.<\/li>\n \t<li>Areepong, Y., and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, (February, 2024) Explicit Formulas of Average Run Lengths of Moving Average Control Chart for INARCH (1) Poisson Counting Processes, AIP Conference Proceedings, 3084(116), Article number\u00a00300032023.<\/li>\n \t<li>Sukparungsee, S., and Areepong, Y., (February, 2024) On the Performance of Extended EWMA Control Chart based on Moving Average Model with Exogenous Variables, AIP Conference Proceedings, 3084(116), Article number\u00a00300012023.<\/li>\n \t<li>Phantu S<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">.<\/a>, Areepong, Y., and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, (2024) Double Moving Average Control Chart for Time Series Data with Poisson INARCH(1), WSEAS Transactions on Business and Economics, 21,\u00a0694-707.<\/li>\n \t<li>Saengsura, , Sukparungsee, S., and Areepong, Y., (2024) A Mixed TCC Cumulative Sum-Double Moving Average Control Chart For Detecting Mean Shifts Under Symmetric And Asymmetric Distributions, Journal of Applied Science and Engineering (Taiwan), 27(10), 3337\u20133347.<\/li>\n \t<li style=\"text-align: justify;\">Sunthornwat, R., Areepong, Y., and Sukparungsee, S., (2024) Performance Evaluation of HWMA Control Chart based on AR(p) with Trend Model to Detect Shift Process Mean, WSEAS Transactions on Business and Economics, 21, 603-616.<\/li>\n \t<li>Sukparungsee, S., and Areepong, Y., (2024) On Designing of Extended EWMA Control Chart for Detecting Mean Shifts and its Application, Thailand Statistician, 22(1), 102-120.<\/li>\n \t<li>Khamrod, S., Areepong, Y., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, and Sunthornwat, R<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">.<\/a>, (2024) The Accurate Results of Average Run Length on Modified EWMA Control Chart for the First-Order Moving Average Process with Exogenous Variables Models, Thailand Statistician, 22(1),\u00a063-75.<\/li>\n \t<li>Chananet, C., Areepong, Y., and Sukparungsee, S., (2024) On Designing a Moving Average-Range Control Chart for Enhancing a Process Variation Detection, Applied Science and Engineering Progress, 17(1), DOI 10.14416\/j.asep.2023.06.001.<\/li>\n \t<li>Sunthornwat, R<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">.<\/a>, Sukparungsee, S., and Areepong, Y., (2023) Analytical Explicit Formulas of Average Run Length of Homogenously Weighted Moving Average Control Chart Based on a MAX Process, Symmetry, 15(12),\u00a0Article number\u00a02112.<\/li>\n \t<li>Talordphop K., Areepong, Y., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, and Sunthornwat, R<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">.<\/a>, (2023) Design and Analysis of Extended Exponentially Weighted Moving Average Signed-Rank Control Charts for Monitoring the Process Mean, <em>Mathematics<\/em>, 11(21),\u00a0Article number\u00a04482.<\/li>\n \t<li>Supharakonsakun, Y<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">.<\/a>, and Areepong, Y., (2023) ARL Evaluation of a DEWMA Control Chart for Autocorrelated Data: A Case Study on Prices of Major Industrial Commodities, Emerging Science Journal, 7(5),\u00a01771-1786.<\/li>\n \t<li>Saengsura, N., Areepong, Y., and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, (2023) New Designing Mixed Double Moving Average-Cumulative Sum Control Chart for Detecting Mean Shifts with Symmetrically and Asymmetrically Distributed Observations, Applied Science and Engineering Progress, 16(4),\u00a0Article number\u00a06527.<\/li>\n \t<li>Talordphop, K., Sukparungsee, S., and Areepong, Y. (2023) On designing new mixed modified exponentially weighted moving average &#8211; exponentially weighted moving average control chart, Results in Engineering 18, Article number\u00a0101152.<\/li>\n \t<li>Petcharat, K., Phanyaem, S., and Areepong, Y.,\u00a0 (2023) A New Hybrid Exponentially Weighted Moving Average Control Chart with Repetitive Sampling for Monitoring the Coefficient of Variation, Symmetry, 15(5),\u00a0Article number\u00a0999.<\/li>\n \t<li>Saesuntia, P., Areepong, Y., and Sukparungsee, S., (2023) On the Average Run Lengths of Quality Control Schemes Using a Numerical Integral Equation Approach, Applied Science and Engineering Progress, 16(2), Article number\u00a05881.<\/li>\n \t<li>Silpakob, K., Areepong, Y., Sukparungsee, S., and Sunthornwat, R. (2023) Exact Average Run Length Evaluation for an ARMAX(p,q,r) Process Running on a Modified EWMA Control Chart, IAENG International Journal of Applied Mathematics, 53(1) Article number\u00a0IJAM_53_1_32.<\/li>\n \t<li>Peerajit, W. and Areepong, Y. (2023) Alternative to Detecting Changes in the Mean of an Autoregressive Fractionally Integrated Process with Exponential White Noise Running on the Modified EWMA Control Chart, Processes, 11(2)\u00a0Article number\u00a0503<\/li>\n \t<li>Karoon, K., Areepong, Y., and ukparungsee, S. (2023) Modification of ARL for detecting changes on the double EWMA chart in time series data with the autoregressive model Connection Science, 35(12023)\u00a0Article number\u00a02219040.<\/li>\n \t<li>Talordphop, K., Sukparungsee, S. and Areepong, Y., (2023) Mixed Tukey Exponentially Weighted Moving Average-Modified Exponentially Weighted Moving Average Control Chart for Process Monitoring, Emerging Science Journal,\u00a0 7(3), 854 \u2013 866.<\/li>\n \t<li>Phantu, S, Areepong, Y., and Sukparungsee, S., (2023), Average Run Length Formulas for Mixed Double Moving Average-Exponentially Weighted Moving Average Control Chart, Science and Technology Asia, 28(1), 77 \u2013 89.<\/li>\n \t<li style=\"text-align: justify;\">Sunthornwat, R. and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>, (2023) Probabilistic Analysis Depending on the Distance from A COVID-19 Outbreak, <a href=\"https:\/\/www.scopus.com\/sourceid\/21101017598\"><em>Emerging Science Journal<\/em><\/a><em>,<\/em>7 Special Issue, 163- 185.<\/li>\n \t<li style=\"text-align: justify;\">Saengsura, N., \u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, and\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2023) A New Nonparametric Tukey CUSUM-MA Control Chart for Detecting Mean Shifts, Thailand Statistician, 21(1),\u00a0pp.125 &#8211; 136.<\/li>\n \t<li style=\"text-align: justify;\">Silpakob, K, <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a> and Sunthornwat, R. (2023) A New Modified EWMA Control Chart for Monitoring Processes Involving Autocorrelated Data, <a href=\"https:\/\/www.scopus.com\/sourceid\/25476\"><em>Intelligent Automation and Soft Computing<\/em><\/a>, 36(1),\u00a0pp. 281-298.<\/li>\n \t<li style=\"text-align: justify;\">Karoon, K., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a> (2023) Trend Autoregressive Model Exact Run Length Evaluation on a Two-Sided Extended EWMA Chart, <a href=\"https:\/\/www.scopus.com\/sourceid\/12324\"><em>Computer Systems Science and Engineering<\/em><\/a><em>, <\/em>44(2),\u00a0pp. 1143-1160.<\/li>\n \t<li style=\"text-align: justify;\">Supharakonsakun, Y. and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2022) Design and Application of a Modified EWMA Control Chart for Monitoring Process Mean, <a href=\"https:\/\/www.scopus.com\/sourceid\/21100939572\"><em>Applied Science and Engineering Progress<\/em><\/a>, 15(41),\u00a0 5198.<\/li>\n \t<li style=\"text-align: justify;\">Phanthuna, P. and\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2022) Detection Sensitivity of a Modified EWMA Control Chart with a Time Series Model with Fractionality and Integration, <a href=\"https:\/\/www.scopus.com\/sourceid\/21101017598\"><em>Emerging Science Journal<\/em><\/a><em>,<\/em>6(5),\u00a0pp. 1134- 1152.<\/li>\n \t<li style=\"text-align: justify;\">Talordphop, K., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, and\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2022) Performance of new nonparametric Tukey modified exponentially weighted moving average-Moving average control chart, Plos ONE17(9),<\/li>\n \t<li style=\"text-align: justify;\">Sunthornwat, R., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>, and Prommi P.(2022) Similarity in Sequences of COVID-19 Genetic Codes over Galois Field, <a href=\"https:\/\/www.scopus.com\/sourceid\/21100899864\"><em>ECTI Transactions on Computer and Information Technology<\/em><\/a>,\u00a016(2),\u00a0pp. 165- 173.<\/li>\n \t<li style=\"text-align: justify;\">Karoon, K., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a> (2022) Exact Solution of Average Run Length on Extended EWMA Control Chart for the First-Order Autoregressive Process, Thailand Statistician,\u00a020(2),\u00a0pp. 395 &#8211; 411.<\/li>\n \t<li style=\"text-align: justify;\">Peerajit,W. and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2022) Integral equation solutions for the average run length for monitoring shifts in the mean of a generalized seasonal ARFIMAX(P, D, Q, r)<sub>s<\/sub>\u00a0process running on a CUSUM control chart, Plos ONE\u00a017(2),\u00a0e0264283.<\/li>\n \t<li style=\"text-align: justify;\">Karoon, K., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a> (2022) Exact Run Length Evaluation on Extended EWMA Control Chart for Seasonal Autoregressive Process, <a href=\"https:\/\/www.scopus.com\/sourceid\/25476\"><em>Engineering<\/em><\/a> Letters,\u00a030(4),\u00a0pp. 1377 &#8211; 1390.<\/li>\n \t<li style=\"text-align: justify;\">Muangngam, T., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, and\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2022) <a href=\"https:\/\/www.scopus.com\/sourceid\/24173\">\u00a0Approximation of average run length on extended EWMA control chart for autoregressive process with explanatory variables using numerical integral equation method, International Conference on Engineering Mathematics and Physics, ICEMP 2022, <\/a>23461(1),\u00a0Article number\u00a0012002<strong>.<\/strong><\/li>\n \t<li style=\"text-align: justify;\">\u00a0Talordphop, K, \u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, and\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2022) New modified exponentially weighted moving average-moving average control chart for process monitoring, <a href=\"https:\/\/www.scopus.com\/sourceid\/24173\"><em>Connection Science<\/em><\/a>, 34(1),\u00a0pp. 1981-1988.<\/li>\n \t<li style=\"text-align: justify;\">Karoon, K., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a> (2022) Exact Run Length Evaluation on Extended EWMA Control Chart for Autoregressive Process, <a href=\"https:\/\/www.scopus.com\/sourceid\/25476\"><em>Intelligent Automation and Soft Computing<\/em><\/a>,\u00a033(2),\u00a0pp. 743\u2013759.<\/li>\n \t<li style=\"text-align: justify;\">Peerajit W., and Areepong Y. (2022) The performance of CUSUM control chart for monitoring process mean for autoregressive moving average with exogenous variable model, <em>Applied Science and Engineering Progress<\/em><em>1<\/em>5(1),\u00a0pp. 1\u201310.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=57277134100&amp;zone=\">Saengsura, N.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, and\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2022) Mixed moving average-cumulative sum control chart for monitoring parameter change, <a href=\"https:\/\/www.scopus.com\/sourceid\/25476\"><em>Intelligent Automation and Soft Computing<\/em><\/a><em>, 31(1) pp. 635-647. <\/em><\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57207567630\">Phanthuna, P.<\/a> and\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2021) Analytical solutions of arl for sar(P)<sub>l<\/sub>model on a modified ewma chart, <a href=\"https:\/\/www.scopus.com\/sourceid\/21100905277\"><em>Mathematics and Statistics<\/em><\/a><em>,<\/em>\u00a09(5),\u00a0pp. 685\u2013696.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=37114031100\">Sunthornwat, R.<\/a> (2021) Estimation of the number of cumulative COVID-19 cases by day in Thailand based on a flattened curve policy, Walailak Journal of Science and Technology,\u00a02021,\u00a018(13),\u00a010054.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57208771959\">Taboran, R.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2021) Design of a New Tukey MA-DEWMA Control Chart to Monitor Process and Its Applications, IEEE Access,\u00a02021.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=37114031100\">Sunthornwat, R.<\/a> and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2021) Predictive models for the number of cumulative cases for spreading coronavirus disease 2019 in the world. Engineering and Applied Science Research,\u00a048(4),\u00a0pp. 432\u2013445.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=37114031100\">Sunthornwat, R.<\/a> (2021) Controlling the velocity and kinetic energy of an ideal gas: An ewma control chart and its average run length, Walailak Journal of Science and Technology,\u00a02021,\u00a018(10),\u00a09586<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57207567630\">Phanthuna, P.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a> (2021) Exact run length evaluation on a two-sided modified exponentially weighted moving average chart for monitoring process mean, Computer Modeling in Engineering and Sciences,\u00a0127(1),\u00a0pp. 23\u201341.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57207567630\">Phanthuna, P.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a> (2021) Detection capability of the modified EWMA chart for the trend stationary AR(1) model, Thailand Statistician,\u00a019(1),\u00a0pp. 70\u201381.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100\">Sukparungsee, S.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57211964205\">Sasiwannapong, S.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=56218207200\">Busababodhin, P.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2021) The effects of constructed bivariate copulas on multivariate control charts effectiveness, Quality and Reliability Engineering International. 37(5),\u00a0pp. 2156\u20132168.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=37114031100\">Sunthornwat, R.<\/a> and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500\">Areepong, Y.<\/a> (2021) Predictive Model for the Total Daily Covid-19 Cases with Herd Immunity Policy. Chiang Mai University Journal of Natural Sciences,\u00a02021,\u00a020(1),\u00a0pp. 1\u201313,\u00a0e2021016.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/apps.webofknowledge.com\/OutboundService.do?SID=E4fTlsuspmrIQcqq3zs&amp;mode=rrcAuthorRecordService&amp;action=go&amp;product=WOS&amp;lang=en_US&amp;daisIds=42564017\">Phanthuna, P<\/a><strong>., <\/strong>Areepong, Y., and Sukparungsee, S. (2021) Detection Capability of the Modified EWMA Chart for the Trend Stationary AR(1) Model, Thailand Statistician,\u00a0 19(1), 70-81.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a> and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Sunthornwat, R.<\/a>,\u00a0 (2020) Approximate average run length and its eigenvalue problem on exponentially weighted moving average control chart: An economic application, <a href=\"https:\/\/www.scopus.com\/sourceid\/21100871804?origin=recordpage\">Asia-Pacific Journal of Science and Technology<\/a>, 25(4), 1-11.<\/li>\n \t<li style=\"text-align: justify;\">Sasiwannapong, S ., Sukparungsee, S., Busababodhin, P and Areepong, Y., (2020) Construction of bivariate copulas on a multivariate exponentially weighted moving average control chart, Mathematics and Statistics, 8(5), 520-526.<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee, S., Areepong, Y., and Taboran, R. (2020) Exponentially weighted moving average-Moving average charts for monitoring the process mean, PLoS ONE 15(2), e0228208.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/apps.webofknowledge.com\/OutboundService.do?SID=E4fTlsuspmrIQcqq3zs&amp;mode=rrcAuthorRecordService&amp;action=go&amp;product=WOS&amp;lang=en_US&amp;daisIds=35467983\">Supharakonsakun, Y<\/a>.,\u00a0Areepong, Y., and Sukparungsee, S. (2020) The performance of a modified EWMA control chart for monitoring autocorrelated PM2.5 and carbon monoxide air pollution data, PEERJ, 8, e10467<\/li>\n \t<li style=\"text-align: justify;\">Nakakate, P., Sarikavanij, S., Sukparungsee, S. and Areepong, Y., (2020)\u00a0 Improving bivariate ranked set sampling with application to chi-square control chart, Thailand Statistician, 18(2), 108-121.<\/li>\n \t<li style=\"text-align: justify;\">Jampachaisri, K., Tinochai, K., Sukparungsee, S. and Areepong, Y., (2020)\u00a0 Empirical bayes based on squared error loss and precautionary loss functions in sequential sampling plan, IEEE Access, 8(20), \u00a051460-51469.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/apps.webofknowledge.com\/OutboundService.do?SID=E4fTlsuspmrIQcqq3zs&amp;mode=rrcAuthorRecordService&amp;action=go&amp;product=WOS&amp;lang=en_US&amp;daisIds=35467983\">Supharakonsakun, Y<\/a>.,\u00a0Areepong, Y., and Sukparungsee, S. (2020) The exact solution of the average run length on a modified EWMA control chart for the first-order moving-average process, SCIENCEASIA, 46(1), 109-118.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a> and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Sunthornwat, R.<\/a>,\u00a0 (2020) Predictive Models for Cumulative Confirmed COVID-19 Cases by Day in Southeast Asia, CMES-Computer Modeling in Engineering &amp; Sciences, 125(3), 927-942.<\/li>\n \t<li style=\"text-align: justify;\">Tiengket, S. Sukparungsee, S., Busababodhin, P. and Areepong, Y. (2020) Construction of bivariate copulas on the hotelling\u2019s T<sup>2<\/sup>control chart, Thailand Statistician, \u00a018(1), 1-15.Top of ForBottom of Form<\/li>\n \t<li style=\"text-align: justify;\">Sasiwannapong, S ., Sukparungsee, S., Busababodhin, P and Areepong, Y., (2020) The efficiency of constructed bivariate copulas for MEWMA and Hotelling&#8217;s T-2 control charts, <a href=\"http:\/\/www.tandfonline.com\/toc\/lssp20\/current\">Communications in Statistics &#8211; Simulation and Computation, <\/a>Early access 2019<\/li>\n \t<li style=\"text-align: justify;\">Tinochai, K., Jampachaisri, K.\u00a0 Areepong, Y., and Sukparungsee, S. (2019)\u00a0 Empirical bayes prediction in a sequential sampling plan based on loss functions, Process, 7(12), 944.<\/li>\n \t<li style=\"text-align: justify;\">Bualuang, D., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2019) ARL of CUSUM Control Schemes for ZIB Model when the Underlying Distribution is the Ratio of Two Poisson Means, Advances and Applications in Statistics, 52(4), 235-250.<\/li>\n \t<li style=\"text-align: justify;\">Tinochai, K., Sukparungsee, S. Jampachaisri, K., and Areepong, Y., (2019)\u00a0 Empirical Bayes in Skip Lot Sampling Plan V by Variables Sampling Plan, Engineering Letters, 27(2), 311-319.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Peerajit, W.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2019) Explicit analytical solutions for ARL of CUSUM chart for a long-memory SARFIMA model, <a href=\"http:\/\/www.tandfonline.com\/toc\/lssp20\/current\">Communications in Statistics &#8211; Simulation and Computation, <\/a>48(4), 1176-1190.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. (2018) The detection of shifts in the ratio of two Poisson means with an Exponentially Weighted Moving Average control chart, Naresuan University Journal: Science and Technology, 26(2), 1- 14.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Sunthornwat, R.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2017)\u00a0 Average Run Length with a Practical Investigation of Estimating Parameters of the EWMA Control Chart on the Long Memory AFRIMA Process, Thailand Statistician, 16(2), 190-202.<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee, S., Phantu, S. and Areepong, Y. (2017) Explicit Formula of Average Run length of Moving Average Control Chart for Poisson INMA(1), Advances and Applications in Statistics, 52(4), 235-250.<\/li>\n \t<li style=\"text-align: justify;\">Phantu, S., Sukparungsee, S and Areepong, Y. (2017) DMA Chart Monitoring of the first Integer-valued Autoregressive Process of Poisson Counts, Advances and Applications in Statistics, 52(2), 97-119.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Peerajit, W.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2017) Numerical Integral Equation Method for ARL of CUSUM Chart for Long-Memory Process with Non-Seasonal and Seasonal ARFIMA Models, Thailand Statistician, 16(1), 26-37.<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee, S., Kuvattana, S., Busababodhin, P. and Areepong, Y. (2018) Bivariate Copulas on the Hotelling&#8217;s\u00a0T<sup>2<\/sup>\u00a0Control Chart, <a href=\"http:\/\/www.tandfonline.com\/toc\/lssp20\/current\">Communications in Statistics &#8211; Simulation and Computation, <\/a>47(2), 413-419.<\/li>\n \t<li style=\"text-align: justify;\">Bualuang, D., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2017) Explicit expression of avarage run length of Double Moving Average control chart for ZIB models when the underlying distribution is ratio of two Poisson means, <em>Advances and Applications in Statistics<\/em>, 51(3), 187-204.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Sunthornwat, R.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2017) Average run length of the long-memory autoregressive fractionally integrated moving average process of the exponential weighted moving average control chart, Cogent Mathematics, 4, Article number 1358536.<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee, S., Kuvattana, S., Busababodhin, P. and Areepong, Y. (2017) Multivariate copulas on the MCUSUM control chart, Cogent Mathematics, 4, Article number 1342318.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Peerajit, W.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2017) Explicit analytical solutions for ARL of CUSUM chart for a long-memory SARFIMA model, <a href=\"http:\/\/www.tandfonline.com\/toc\/lssp20\/current\">Communications in Statistics &#8211; Simulation and Computation, <\/a>1-15, Article in Press.<\/li>\n \t<li style=\"text-align: justify;\">Raweesawat, K., Areepong, Y., Sukparungsee, S. and Jampachaisri, K. (2017) \u00a0Odds ratio estimation in rare data by empirical bayes method, Thailand Statistician, 15(2), 149-156.<\/li>\n \t<li style=\"text-align: justify;\">Bualuang, D., <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2017) ARL Formulas of MA Control Chart with Zero-Inflated Binomial Model when Underlying Distribution is Ratio of Two Poisson Means, Lecture Notes in Engineering and Computer Science<em>, <\/em>2227, 292-298.<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee, S. and Areepong, Y. (2017) An Explicit Analytical Solution of the Average Run Length of an Exponentially Weighted Moving Average Control Chart using an Autoregressive Model. Chiang Mai Journal of Science, 44 (3), 1172-1179.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Peerajit, W.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2017) Analytical Explicit Formulas of Average Run Length for Long Memory Process with ARFIMA Model on CUSUM Control Chart, <em>Songklanakarin Journal of Science and Technology, <\/em>39 (6), 779-786.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2017) Explicit Formulas of Average Run Length of Cumulative Sum Control Chart for Autoregressive Integrated Moving Average with Exogenous Variable Model, <em>Advances and Applications in Statistics<\/em>, 50(1), 21-36.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2016) An Explicit Expression of Average Run Length of Exponentially Weighted Moving Average Control Chart with ARIMA (p,d,q)(P, D, Q)<sub>L<\/sub> Models, <em>Advances and Applications in Statistics<\/em>, 49(5), 369-385.<\/li>\n \t<li style=\"text-align: justify;\">Raweesawat, K., Areepong, Y., Jampachaisri, K. and <em>Sukparungsee, S.<\/em> (2016) Odds Ratios Estimation of Rare Event in Binomial Distribution, Journal of Probability and Statistics, Article number\u00a03642941.<\/li>\n \t<li style=\"text-align: justify;\">Kuvattana, S., Sukparungsee, S., Areepong, Y., and Busababodhin, P. (2016) Bivariate copulas on the exponentially weighted moving average control chart, <em>Songklanakarin Journal of Science and Technology, <\/em>38(5), 569-574.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. (2016) A Comparison of the Performance of t Control Charts in Short Runs Processes, Far East Journal of Mathematical Sciences, 100(11), 1745-1754.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. (2016) A performance comparison of a nonparametric exponentially weighted moving average signed rank and a nonparametric exponentially weighted moving average sign chart for monitoring a change in process, <em>Far East Journal of Mathematical Sciences<\/em>, 100(9), 1421-1432.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=57190249783&amp;amp;eid=2-s2.0-84978715882\">Peerajit, W.<\/a>,\u00a0<a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286500&amp;amp;eid=2-s2.0-84978715882\">Areepong, Y.<\/a>and <a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=54896286100&amp;amp;eid=2-s2.0-84978715882\">Sukparungsee, S.<\/a> (2016) Numerical integral equation method of average run length of cumulative sum control chart for long memory process with ARFIMA model, <em>Lecture Notes in Engineering and Computer Science, <\/em>2, 852-855.<\/li>\n \t<li style=\"text-align: justify;\">Phantu, S., Areepong, Y. and Sukparungsee, S. (2016) Explicit expressions of average run length of moving average control chart for Poisson integer valued autoregressive model, Lecture Notes in Engineering and Computer Science<em>, <\/em>2, 892-895.<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee, S., Somran, S. and Areepong, Y., (2016) Exact Expression of Average Run Length for Two-sided Exponential CUSUM Procedure., Advances and Applications in Statistics, 48(6), 429-444.<\/li>\n \t<li style=\"text-align: justify;\">Somran, S., Sukparungsee, S., and Areepong, Y., (2016) Analytic and Numerical Solutions of ARL of CUSUM Procedure for Exponentially Distributed Observations, Thailand Statistician, 14(1), 249-258.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. and Sukparungsee, S., (2016) Approximation Average Run Lengths of Zero-Inflated Binomial GWMA Chart with Markov Chain Approach, <em>Far East Journal of Mathematical Sciences<\/em>, 99(3), 413-428.<\/li>\n \t<li style=\"text-align: justify;\">Kuvattana, S., Sukparungsee, S., Busababodhin, P. and Areepong, Y., (2015) Efficiency of Bivariate Copula on the CUSUM Chart, Lecture Notes in Engineering and Computer Science, 2, 829-832.<\/li>\n \t<li style=\"text-align: justify;\">Kuvattana, S., Sukparungsee, S., Areepong, Y., and Busababodhin, P., (2015) Multivariate Control Charts for Copulas Modeling, <em>Book series: <\/em>Lecture Notes in Engineering and Computer Science; World Scientific Publishing, Singapore, 371-381.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. (2015) Generally weighted moving average control chart for zero-inflated poisson, <em>Far East Journal of Mathematical Sciences<\/em>, 98(1), 103-115.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. (2015) Modified exponentially weighted moving average control chart by improved square root transformation for binomial distribution, <em>Far East Journal of Mathematical Sciences<\/em>, 98(1), 91-102.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. and Sukparungsee, S. (2015) Explicit formulas of average run length for arima (P, d, q) (P, D, Q)<sub>L<\/sub> process of cusum control chart, <em>Far East Journal of Mathematical Sciences<\/em>, 98(8), 1021-1033.<\/li>\n \t<li style=\"text-align: justify;\">Kuvattana, S., Sukparungsee, S. Busababodhin, P. and Areepong, Y. (2015) Efficiency of bivariate copula on the CUSUM chart, <em>Lecture Notes in Engineering and Computer Science, <\/em>2, 829-832.<\/li>\n \t<li style=\"text-align: justify;\">Petcharat, K., Sukparungsee, S. and Areepong, Y. (2015) Exact solution of the average run length for the cumulative sum chart for a moving average process of order q, <em>Science Asia,<\/em> 41(2), 141-147.<\/li>\n \t<li style=\"text-align: justify;\"><a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=56707420700&amp;zone=\">Busababodin, P.<\/a>,\u00a0<a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286500&amp;zone=\">Areepong, Y.<\/a> and <a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a> (2015) Analytical expression of ARL for AR(P) on exponential Cusum procedure, <em>Far East Journal of Mathematical Sciences,<\/em> 97(7), 905-924.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. and Sukparungsee, S. (2015) Explicit Expression for the Average Run Length of Double Moving Average Scheme for Zero-Inflated Binomial Process, International Journal of Applied Mathematics and Statistics, 53(3), 34-43.<\/li>\n \t<li style=\"text-align: justify;\">Phengsalae, Y., Areepong, Y. and Sukparungsee, S. (2015) An Approximation of ARL for Poisson GWMA Using Markov Chain Approach, Thailand Statistician, 13(1), 111-124.<\/li>\n \t<li style=\"text-align: justify;\">Chananet, C., Areepong, Y. and Sukparungsee, S. (2015) An Approximate Formula for ARL in Moving Average Chart with ZINB Data, Thailand Statistician, 13(2), 209-222.<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee, S. and Areepong, Y. (2015) Combined Forecasting for Epidemiology\u00a0 \u00a0\u00a0\u00a0 Surveillance Trend, International Journal of Applied Mathematics and Statistics, 53(2), 148- 159.<\/li>\n \t<li>Chananet, C., Areepong, Y. and Sukparungsee, S. (2015) A Markov Chain Approach for Average Run Length of EWMA and CUSUM Control Chart Based on ZINB Model, International Journal of Applied Mathematics and Statistics, 53(1), 126-137.<\/li>\n \t<li>Paichit, P., Sukparungsee, S., and Areepong, Y., (2014) Exact Expression of Average RunLength of EWMA Chart for SARMA(P, D, Q)<sub>L<\/sub> Procedure, International Journal of Applied Mathematics and Statistics, 52(9), 62-37.<\/li>\n \t<li>Phanyaem, S. Areepong, Y. Sukparungsee, S. Mititelu, G. (2014). Explicit formulas of average run length for ARMA(1, 1) process of CUSUM control chart. <a href=\"https:\/\/www.researchgate.net\/journal\/0972-0871_Far_East_Journal_of_Mathematical_Sciences\">Far East Journal of Mathematical Sciences<\/a> 90(2), 211<strong>&#8211;<\/strong><\/li>\n \t<li>Sukparungsee, S. and Areepong, Y. (2014) Exact Average Run Length of Double Moving Average Control Chart, International Journal of Applied Mathematics and Statistics, 52(2), 159-168.<\/li>\n \t<li><a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a> and <a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286500&amp;zone=\">Areepong, Y.<\/a> (2014) Exact Average Run Length of Double MovingControl Chart, International Journal of Applied Mathematics and Statistics, 52(2), 159-168.<\/li>\n \t<li>Areepong Y. (2013), Analytical expression of average run length for exponential CUSUM, International Journal of Applied Mathematics and Statistics<em>, <\/em>48(18), 477-486.<\/li>\n \t<li>Somran S., <a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a> and <a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286500&amp;zone=\">Areepong, Y.<\/a> (2013) Derivation and analysis of average run length for non-negative cumulative sum chart when observations are exponential distribution for the lower-sided case, Far East Journal of Mathematical Sciences<em>, <\/em>82(1), 65-78.<\/li>\n \t<li><a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286500&amp;zone=\">Areepong, Y.<\/a> and <a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, (2013) Analytical explicit formula for performance of cumulative sum procedure for exponential distribution, Far East Journal of Mathematical Sciences, 82(1), 119-132.<\/li>\n \t<li>Phanyaem, S., Areepong, Y., Sukparungsee, S. and Mititelu, G., (2013) Explicit Formula<em>s <\/em>of Average \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Run Length for ARMA(1,1). International Journal of Applied \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Mathematics and \u00a0\u00a0\u00a0\u00a0\u00a0 Statistics, 43(13), 392-405.<\/li>\n \t<li><a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=55542364100&amp;zone=\">Deetae, N.<\/a>, <a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286100&amp;zone=\">Sukparungsee, S.<\/a>, <a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=54896286500&amp;zone=\">Areepong, Y.<\/a> and <a href=\"http:\/\/www.scopus.com\/authid\/detail.url?origin=resultslist&amp;authorId=36643941600&amp;zone=\">Jampachaisri, K.<\/a> (2013) <a href=\"http:\/\/www.scopus.com\/record\/display.url?eid=2-s2.0-84879895208&amp;origin=resultslist&amp;sort=plf-f&amp;src=s&amp;st1=sukparungsee&amp;sid=EC32A5E77676A69875D0E4CC13F6AB25.WlW7NKKC52nnQNxjqAQrlA%3a50&amp;sot=b&amp;sdt=b&amp;sl=25&amp;s=AUTHOR-NAME%28sukparungsee%29&amp;relpos=0&amp;relpos=0&amp;citeCnt=0&amp;searchTerm=AUTHOR-NAME%28sukparungsee%29\">The combination of Empirical Bayes and Nearest Neighbor in classification of heavy-tailed distribution<\/a>, Far East Journal of Mathematical Sciences, 77(2), 255-266.<\/li>\n \t<li>Areepong Y, Sukparungsee S. (2013) Closed Form Formulas of Average Run Length of Moving Average Control Chart for Nonconforming for Zero-Inflated Process. Far East Journal of Mathematical Sciences (FJMS) 75(2), 385-400.<\/li>\n \t<li>Areepong Y. (2013) A Comparison of Performance of Residual Control charts for Trend Stationary AR(p) Processes. International Journal of Pure and Applied Mathematics, 85(3), 583-592.<\/li>\n \t<li>Petcharat K, Areepong Y. and Sukparungsee S (2013). Exact Solution for Average Run Length of EWMA Charts for MA(q) Process. Far East Journal of Mathematical Sciences, 78(2): 291-300.<\/li>\n \t<li>Busaba J, Sukparungsee S, Areepong Y (2013). An Analytical of Average Run Length for First Order of Autoregressive Observations on CUSUM Procedure. International Journal of Applied Mathematics and Statistics, 34(4), 20-29.<\/li>\n \t<li>Areepong Y. (2012) Explicit Formulas of Average Run Length for A moving Average Control Chart for Monitoring the Number of Defective Products. International Journal of Pure and Applied Mathematics, 80(3), 331-343.<\/li>\n \t<li>Busaba J, Sukparungsee S, Areepong Y, Mititelu, G. (2012) An Analysis of Average Run Length for CUSUM Procedure with Negative Exponential Data. Chiang Mai Journal of Science, 39(2), 200-208.<\/li>\n \t<li>Suriyakat W, Areepong Y, Sukparungsee S, Mititelu G. (2012) On EWMA Procedure for AR(1) Observations with Exponential White Noise. International Journal of Pure and Applied Mathematics, 77(1): 73-83.<\/li>\n \t<li>Petcharat K, Areepong Y, Sukparungsee S, Mititelu G. (2012) Fitting Pareto Distribution with Hyperexponential to Evaluate the\u00a0 ARL for CUSUM Chart. International Journal of Pure and Applied Mathematics, 77(2), 233-244.<\/li>\n \t<li>Areepong Y, Sukparungsee S. (2011) A Study of the Performance of a Double Moving Average Control Chart for Monitoring a Number of Defective Products. International Journal of Pure and Applied Mathematics, 73(4), 477-488.<\/li>\n \t<li>Mititelu G, Areepong Y, Sukparungsee S, Novikov A. (2010) Expicit Analytical Solutions for the Average Run Length of CUSUM and EWMA Charts. East-West Journal of Mathematic special volume<\/li>\n \t<li>Areepong Y, Sukparungsee S. (2010) An Integral Equation Approach to EWMA Chart for Detecting a Change in Lognormal Distribution. Thailand Statistician, 8(1), 47-61.<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee S, Areepong Y. (2009) A study of the Performance of EWMA Chart with Transformed Weibull Observation. Thailand Statistician, 7(2), 179-191.<\/li>\n \t<li style=\"text-align: justify;\">Areepong Y, Novikov A. (2008) Martingale Approach to EWMA Control Chart for Changes in exponential distribution. Journal of Quality Measurement and Analysis, 4(1), 197-203.<\/li>\n<\/ol>\n<h2>\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e15\u0e35\u0e1e\u0e34\u0e21\u0e1e\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e0a\u0e32\u0e15\u0e34<\/h2>\n<ol>\n \t<li style=\"text-align: justify;\">\u0e2a\u0e38\u0e1e\u0e34\u0e0a\u0e0a\u0e32 \u0e19\u0e31\u0e01\u0e27\u0e34\u0e2c\u0e32 \u0e40\u0e2a\u0e32\u0e27\u0e13\u0e34\u0e15 \u0e2a\u0e38\u0e02\u0e20\u0e32\u0e23\u0e31\u0e07\u0e29\u0e35 \u0e41\u0e25\u0e30\u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c \u0e01\u0e32\u0e23\u0e2d\u0e2d\u0e01\u0e41\u0e1a\u0e1a\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e1c\u0e2a\u0e21\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e16\u0e48\u0e27\u0e07\u0e19\u0e4d\u0e49\u0e32\u0e2b\u0e19\u0e31\u0e01\u0e41\u0e1a\u0e1a\u0e40\u0e25\u0e02\u0e0a\u0e35\u0e49\u0e01\u0e4d\u0e32\u0e25\u0e31\u0e07\u0e2a\u0e2d\u0e07\u0e04\u0e23\u0e31\u0e49\u0e07-\u0e17\u0e39\u0e01\u0e35\u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e04\u0e48\u0e32\u0e1e\u0e34\u0e2a\u0e31\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48 \u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c \u0e1b\u0e35\u0e17\u0e35\u0e48 18 \u0e09\u0e1a\u0e31\u0e1a\u0e17\u0e35\u0e48 1 \u0e21.\u0e04.-\u0e21\u0e34.\u0e22. 2562<\/li>\n \t<li style=\"text-align: justify;\">Yupaporn Areepong (2018) The Detection of Shifts in the Ratio of Two Poisson Means with an Exponentially Weighted Moving Average Control, \u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e19\u0e40\u0e23\u0e28\u0e27\u0e23: \u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c\u0e41\u0e25\u0e30\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35, 26(2), 110-118.<\/li>\n \t<li style=\"text-align: justify;\">\u0e23\u0e27\u0e35\u0e27\u0e25\u0e35 \u0e10\u0e34\u0e15\u0e34\u0e2a\u0e38\u0e27\u0e23\u0e32\u0e19\u0e19\u0e17\u0e4c \u0e40\u0e2a\u0e32\u0e27\u0e13\u0e34\u0e15 \u0e2a\u0e38\u0e02\u0e20\u0e32\u0e23\u0e31\u0e07\u0e29\u0e35 \u0e41\u0e25\u0e30 \u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c, \u201c\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e1c\u0e2a\u0e21 CUSUM-TCC \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e15\u0e23\u0e27\u0e08\u0e08\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e01\u0e23\u0e30\u0e08\u0e32\u0e22\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23,\u201d \u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e1e\u0e23\u0e30\u0e08\u0e2d\u0e21\u0e40\u0e01\u0e25\u0e49\u0e32\u0e1e\u0e23\u0e30\u0e19\u0e04\u0e23\u0e40\u0e2b\u0e19\u0e37\u0e2d, \u0e1b\u0e35\u0e17\u0e35\u0e48 29, \u0e09\u0e1a\u0e31\u0e1a\u0e17\u0e35\u0e48 3, \u0e2b\u0e19\u0e49\u0e32 507\u2013517, \u0e01.\u0e04.\u2013\u0e01.\u0e22.<\/li>\n \t<li style=\"text-align: justify;\">\u0e0a\u0e23\u0e34\u0e19\u0e18\u0e23 \u0e1a\u0e38\u0e0d\u0e20\u0e34\u0e25\u0e30 \u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c \u0e41\u0e25\u0e30\u0e40\u0e2a\u0e32\u0e27\u0e13\u0e34\u0e15 \u0e2a\u0e38\u0e02\u0e20\u0e32\u0e23\u0e31\u0e07\u0e29\u0e35 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\u0e1b\u0e35\u0e17\u0e35\u0e48 27, \u0e09\u0e1a\u0e31\u0e1a\u0e17\u0e35\u0e48 4, \u0e2b\u0e19\u0e49\u0e32 843\u2013854, \u0e15.\u0e04. \u2013 \u0e18.\u0e04. 2560<\/li>\n \t<li style=\"text-align: justify;\">\u0e2d\u0e20\u0e34\u0e0d\u0e0d\u0e32 \u0e1b\u0e23\u0e34\u0e2a\u0e38\u0e17\u0e18\u0e34\u0e1e\u0e07\u0e28\u0e4c \u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c \u0e41\u0e25\u0e30\u0e40\u0e2a\u0e32\u0e27\u0e13\u0e34\u0e15 \u0e2a\u0e38\u0e02\u0e20\u0e32\u0e23\u0e31\u0e07\u0e29\u0e35 \u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e04\u0e27\u0e32\u0e21\u0e22\u0e32\u0e27\u0e27\u0e34\u0e48\u0e07\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34 Arcsine EWMA Sign \u0e14\u0e49\u0e27\u0e22\u0e27\u0e34\u0e18\u0e35\u0e25\u0e39\u0e01\u0e42\u0e0b\u0e48\u0e21\u0e32\u0e23\u0e4c\u0e04\u0e2d\u0e1f 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\u0e1b\u0e35\u0e17\u0e35\u0e48 26, \u0e09\u0e1a\u0e31\u0e1a\u0e17\u0e35\u0e48 3, \u0e2b\u0e19\u0e49\u0e32 487\u2013497, \u0e01.\u0e22.\u2013\u0e18.\u0e04. 2559<\/li>\n \t<li style=\"text-align: justify;\">\u0e19\u0e1e\u0e1e\u0e23 \u0e07\u0e32\u0e21\u0e42\u0e2a\u0e20\u0e32\u0e2a\u0e34\u0e23\u0e34\u0e2a\u0e01\u0e38\u0e25, \u0e40\u0e2a\u0e32\u0e27\u0e13\u0e34\u0e15 \u0e2a\u0e38\u0e02\u0e20\u0e32\u0e23\u0e31\u0e07\u0e29\u0e35 \u0e41\u0e25\u0e30 \u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c \u0e27\u0e34\u0e18\u0e35\u0e25\u0e39\u0e01\u0e42\u0e0b\u0e48\u0e21\u0e32\u0e23\u0e4c\u0e04\u0e2d\u0e1f\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e2b\u0e32\u0e04\u0e48\u0e32\u0e04\u0e38\u0e13\u0e25\u0e31\u0e01\u0e29\u0e13\u0e30\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e16\u0e48\u0e27\u0e07\u0e19\u0e49\u0e33\u0e2b\u0e19\u0e31\u0e01\u0e41\u0e1a\u0e1a\u0e40\u0e2d\u0e47\u0e01\u0e0b\u0e4c\u0e42\u0e1e\u0e40\u0e19\u0e19\u0e40\u0e0a\u0e35\u0e22\u0e25 \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e41\u0e1a\u0e1a\u0e25\u0e47\u0e2d\u0e01\u0e19\u0e2d\u0e23\u0e4c\u0e21\u0e2d\u0e25 \u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e1e\u0e23\u0e30\u0e08\u0e2d\u0e21\u0e40\u0e01\u0e25\u0e49\u0e32\u0e1e\u0e23\u0e30\u0e19\u0e04\u0e23\u0e40\u0e2b\u0e19\u0e37\u0e2d \u0e1b\u0e35\u0e17\u0e35\u0e48 22 \u0e09\u0e1a\u0e31\u0e1a\u0e17\u0e35\u0e48 3 \u0e2b\u0e19\u0e49\u0e32 661-669, \u0e01\u0e31\u0e19\u0e22\u0e32\u0e22\u0e19 \u2013 \u0e18\u0e31\u0e19\u0e27\u0e32\u0e04\u0e21<\/li>\n \t<li style=\"text-align: justify;\">\u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c <a href=\"https:\/\/tci-thailand.org\/wp-content\/themes\/magazine-style\/tci_search\/article.html?b3BlbkFydGljbGUmaWQ9NjIyOTk\">\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e43\u0e19\u0e01\u0e23\u0e13\u0e35\u0e17\u0e35\u0e48\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e21\u0e35\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e24\u0e14\u0e39\u0e01\u0e32\u0e25 \u0e01\u0e23\u0e13\u0e35\u0e28\u0e36\u0e01\u0e29\u0e32 : \u0e1b\u0e23\u0e34\u0e21\u0e32\u0e13\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e19\u0e49\u0e33\u0e21\u0e31\u0e19\u0e1b\u0e34\u0e42\u0e15\u0e23\u0e40\u0e25\u0e35\u0e22\u0e21\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22<\/a> <a href=\"https:\/\/tci-thailand.org\/wp-content\/themes\/magazine-style\/tci_search\/journal.html?b3BlbkpvdXJuYWwmaWQ9NzIz\">\u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e2a\u0e38\u0e17\u0e18\u0e34\u0e1b\u0e23\u0e34\u0e17\u0e31\u0e28\u0e19\u0e4c<\/a>18(56), 2547, 63-76.<\/li>\n \t<li style=\"text-align: justify;\">\u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c <a href=\"https:\/\/tci-thailand.org\/wp-content\/themes\/magazine-style\/tci_search\/article.html?b3BlbkFydGljbGUmaWQ9NjI2NTc\">\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e2a\u0e34\u0e19\u0e04\u0e49\u0e32\u0e22\u0e38\u0e17\u0e18\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c\u0e40\u0e01\u0e29\u0e15\u0e23 : \u0e01\u0e23\u0e13\u0e35\u0e1c\u0e31\u0e01\u0e41\u0e25\u0e30\u0e1c\u0e25\u0e44\u0e21\u0e49<\/a> <a href=\"https:\/\/tci-thailand.org\/wp-content\/themes\/magazine-style\/tci_search\/journal.html?b3BlbkpvdXJuYWwmaWQ9NzIz\">\u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e2a\u0e38\u0e17\u0e18\u0e34\u0e1b\u0e23\u0e34\u0e17\u0e31\u0e28\u0e19\u0e4c<\/a>\u00a017(51), 2546, 55-61.<\/li>\n<\/ol>\n<strong>\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e43\u0e19\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e0a\u0e38\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e19\u0e32\u0e19\u0e32\u0e0a\u0e32\u0e15\u0e34<\/strong>\n<ol>\n \t<li style=\"text-align: justify;\">Supharakonsakun, Areepong Y., and Sukparungsee S. (2019) Numerical Approximation of ARL on Modified EWMA Control Chart for MA(1) Process,<em> In Proceeding of International Multiconference of Engineers and Computer Scientists 2019 Vol.II IMCES 2019, <\/em>March 13-15, 2019, Hong Kong.<\/li>\n \t<li style=\"text-align: justify;\">Phanthuna P., Areepong Y., and Sukparungsee S. (2018) Numerical Integral Equation Methods of Average Run Length on Modified EWMA Control Chart for Exponential AR(1) Process,<em> In Proceeding of International Multiconference of Engineers and Computer Scientists 2018 Vol.II IMCES 2018, <\/em>March 14-16, 2018, Hong Kong.<\/li>\n \t<li style=\"text-align: justify;\">Bualuang D., Areepong, Y. and Sukparungsee, S. (2017) ARL Formulas of MA Control Chart with Zero-Inflated Binomial Model when Underlying Distribution is Ratio of Two Poisson Means,<em> In Proceeding of International Multiconference of Engineers and Computer Scientists 2017 Vol.II IMCES 2017, <\/em>March 15-17, 2017, Hong Kong.<\/li>\n \t<li style=\"text-align: justify;\">Peerajit, V., Areepong, Y. and Sukparungsee, S. (2016) Numerical Integral Equation Method of Average Run Length of Cumulative Sum Control Chart for Long Memory Process with ARFIMA Model, <em>In Proceeding of International Multiconference of Engineers and Computer Scientists 2016 Vol.II IMCES 2016, <\/em>March 16-18, 2016, Hong Kong.<\/li>\n \t<li style=\"text-align: justify;\">Phutu, S., Sukparungsee, S. and Areepong, Y. (2016) Explicit Expressions of Average Run Length of Moving Average Control Chart for Poisson Integer Valued Autoregressive Model, <em>In Proceeding of International Multiconference of Engineers and Computer Scientists 2015 Vol.II IMCES 2016, <\/em>March 16-18, 2016, Hong Kong.<\/li>\n \t<li style=\"text-align: justify;\">Kuvattana, S., Sukparungsee, S. Busababodhin, P. and Areepong, Y. (2015) Performance Comparison of Bivariate Copulas on the CUSUM and EWMA Control Charts, <em>In Proceeding of World Congress on Engineering and Computer Science 2015 Vol.II WECES 2015, <\/em>October 21-23, 2015, San Francisco, USA.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y. A Statistical Design of EWMA Chart for MA(q) Based on ARL<em>, In Proceeding of 9<sup>th<\/sup> International Conference on Researches in Engineering, Technology and Sciences (ICRETS), London (United Kingdom), <\/em>September 17-18, 2015. Imperial College (London), United of Kingdom.<\/li>\n \t<li style=\"text-align: justify;\">Kuvattana, S., Sukparungsee, S. Busababodhin, P. and Areepong, Y. (2015) Efficiency of bivariate copula on the CUSUM chart, <em>In Proceeding of International Multiconference of Engineers and Computer Scientists 2015 Vol.II IMCES 2015, <\/em>March 18-20, 2015, Hong Kong.<\/li>\n \t<li style=\"text-align: justify;\">Kuvattana, S., Sukparungsee, S. Busababodhin, P. and Areepong, Y. (2014) Efficiency of bivariate copula on the Shewhart chart, <em>In Proceeding of International Conference on Computational Statistics<\/em> <em>hosting the 5th IASC World Conference, <\/em>August 19\u201322, 2014, <em>Geneva, Switzerland.<\/em><\/li>\n \t<li style=\"text-align: justify;\">Areepong Y. Optimal Design for SARMA(P,Q)<sub>L<\/sub> Process of EWMA Control Chart. <em>In Proceeding of 2014 World Academic of Science, Engineering and Technology 80 (WASET 2014), <\/em>July 10-11, 2014. Prague, Czech Republication.<\/li>\n \t<li style=\"text-align: justify;\">Areepong Y. Optimal parameters of Double Moving Average Control Chart. In Proceeding of World Academy of Science Engineering and Technology, August 15-16, 2013, Venice, Italy.<\/li>\n \t<li style=\"text-align: justify;\">Areepong Y. Optimal parameters of Moving Average Control Chart.<em> In Proceeding<\/em> <em>of 2012 International Conference on Pure and Applied Mathematics (ICPAM 2012),<\/em> July 7-8, 2012, Paris.<\/li>\n \t<li style=\"text-align: justify;\">Jaruchat Busaba, Saowanit Sukparungsee, and Yupaporn Areepong. Analytical of ARL for Trend Stationary First Order of Autoregressive Observations on CUSUM Procedure. <em>Proceedings of the World Congress on Engineering 2012 Vol. I<\/em>, WCE 2012, July 4 &#8211; 6, 2012, London, U.K.<\/li>\n \t<li style=\"text-align: justify;\">Wannaporn Suriyakat, Yupaporn Areepong and Saowanit Sukparungsee, An Analytical Approach to EWMA Control Chart for Trend Stationary Exponential AR(1) Processes. Proceedings of the World Congress on Engineering 2012 Vol. I, WCE 2012, July 4 &#8211; 6, 2012, London, U.K.<\/li>\n \t<li style=\"text-align: justify;\">Wannaporn Suriyakat, Yupaporn Areepong and Saowanit Sukparungsee, Performance of EWMA Control Chart for Trend Stationary AR(1) Processes. Proceedings of the Stochastic Modeling and Data Analysis International Conference 2012<em>, (SMTDA(2012)),<\/em> June 5 &#8211; 8, 2012, Chania, Greece.<\/li>\n \t<li style=\"text-align: justify;\">Jaruchat Busaba Saowanit Sukparungsee and Yupaporn Areepong, Numerical Approximations of ARL for Trend AR(1) on CUSUM Procedure. The 4th KKU International Engineering Conference 2012 (KKU-IENC 2012) \u201cDriving together towards ASEAN Economic Community, May 10-12, 2012, Khon Kaen University, Thailand.<\/li>\n \t<li style=\"text-align: justify;\">Jaruchat Busaba, Saowanit Sukparungsee, and Yupaporn Areepong, Numerical Approximations of Average Run Length for AR(1) on Exponential CUSUM, Proceeding of the International Multi Conference of Engineer and Computer Scientists 2012 Vol.II<em> (IMCES 2012)<\/em>, March 14-16 2012, Hong Kong.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y., Explicit Expression of Average Run Length for Exponential CUSUM. In Proceeding of International conference Applied Statistics 2011, September 25-28, Bled, Slovenia (AS2011).<\/li>\n \t<li style=\"text-align: justify;\">Jaruchat Busaba, Saowanit Sukparungsee, Yupaporn Areepong, Gabriel Mititelu. On CUSUM Procedure for Negative Exponential Distribution. In Proceeding: PROCEEDINGS ASMDA 2011, 6-10 June 2011, Rome, Italy.<\/li>\n \t<li style=\"text-align: justify;\">Kanita Petcharat, Yupaporn Areepong, Saowanit Sukparungsee, Gabriel Mititelu. Fitting Long-tailed Distributions with Hyperexponential to Evaluate the Average Run Length for Cumulative Sum Chart. <em>In Proceeding: <\/em>PROCEEDINGS ASMDA 2011<em>, <\/em>6-10 June 2011<em>, Rome, Italy<\/em><\/li>\n \t<li style=\"text-align: justify;\">Mititelu, G, Areepong, Y, Sukparungsee, S and Novikov, A. Some Analytical Results on CUSUM and EWMA Control Charts. In Proceeding of International conference in mathematics and Applications, 17-19 December, 2009, Bangkok, Thailand (ICMA-MU 2009).<\/li>\n \t<li style=\"text-align: justify;\">Mititelu, G and Areepong, New Solutions in Planar Re-Entry Aerodynamics. <em>In Proceeding of International Conference in Mathematics and Applications<\/em>, 17-19 December, 2009, Bangkok, Thailand (ICMA-MU 2009).<\/li>\n \t<li style=\"text-align: justify;\">Sukparungsee, S. and Areepong, Y. Combining Martingale and Integral Equations for Finding Optimal Designs of EWMA Procedure. i<em>, <\/em>15-18 September, 2009, p.81, Jaca (Huesca), Spain.<\/li>\n \t<li style=\"text-align: justify;\">Areepong, Y and Novikov, A. 2007. EWMA Control Charts for Change in exponential distribution. <em>In Proceedings of International Conference of mathematical Sciences<\/em>, 28-29 November, Bangi-Putrajaya, Maliasia (ICMS 2007).<\/li>\n<\/ol>\n<h2>\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e43\u0e19\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e0a\u0e38\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e0a\u0e32\u0e15\u0e34<\/h2>\n<ol>\n \t<li>\u0e2a\u0e25\u0e34\u0e25\u0e0e\u0e32 \u0e25\u0e35\u0e25\u0e32\u0e2d\u0e38\u0e14\u0e21\u0e27\u0e23\u0e01\u0e38\u0e25 \u0e0a\u0e31\u0e0d\u0e0d\u0e32\u0e19\u0e38\u0e0a \u0e08\u0e34\u0e15\u0e23\u0e4c\u0e27\u0e34\u0e0a\u0e31\u0e22 \u0e40\u0e01\u0e23\u0e35\u0e22\u0e07\u0e44\u0e01\u0e23 \u0e20\u0e39\u0e48\u0e18\u0e35\u0e23\u0e2d\u0e32\u0e20\u0e32 \u0e41\u0e25\u0e30\u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c 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\u0e27\u0e31\u0e19\u0e17\u0e35\u0e48 31 \u0e1e\u0e24\u0e29\u0e20\u0e32\u0e04\u0e21 2559 \u0e13 \u0e42\u0e23\u0e07\u0e41\u0e23\u0e21\u0e40\u0e0b\u0e19\u0e17\u0e23\u0e32\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e23\u0e32\u0e0a\u0e01\u0e32\u0e23\u0e41\u0e25\u0e30\u0e04\u0e2d\u0e19\u0e40\u0e27\u0e19\u0e0a\u0e31\u0e19\u0e40\u0e0b\u0e47\u0e19\u0e40\u0e15\u0e2d\u0e23\u0e4c \u0e41\u0e08\u0e49\u0e07\u0e27\u0e31\u0e12\u0e19\u0e30 \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23<\/li>\n \t<li>\u0e19\u0e23\u0e34\u0e19\u0e17\u0e23\u0e4c \u0e1a\u0e31\u0e27\u0e40\u0e17\u0e1e \u0e08\u0e34\u0e23\u0e27\u0e31\u0e11\u0e12\u0e19\u0e4c \u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1c\u0e14\u0e38\u0e07\u0e01\u0e21\u0e25 \u0e1e\u0e35\u0e23\u0e1e\u0e25 \u0e25\u0e35\u0e49\u0e27\u0e07\u0e28\u0e4c\u0e2a\u0e01\u0e38\u0e25 \u0e41\u0e25\u0e30\u0e22\u0e38\u0e1e\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2d\u0e32\u0e23\u0e35\u0e1e\u0e07\u0e29\u0e4c 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\u0e17\u0e38\u0e19\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e1e\u0e23\u0e30\u0e08\u0e2d\u0e21\u0e40\u0e01\u0e25\u0e49\u0e32\u0e1e\u0e23\u0e30\u0e19\u0e04\u0e23\u0e40\u0e2b\u0e19\u0e37\u0e2d 2559<\/li><li>\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e16\u0e48\u0e27\u0e07\u0e19\u0e49\u0e33\u0e2b\u0e19\u0e31\u0e01\u0e14\u0e49\u0e27\u0e22\u0e40\u0e2d\u0e47\u0e01\u0e0b\u0e4c\u0e42\u0e1b\u0e40\u0e19\u0e19\u0e40\u0e0a\u0e35\u0e22\u0e25\u0e41\u0e1a\u0e1a\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e42\u0e14\u0e22\u0e27\u0e34\u0e18\u0e35\u0e23\u0e32\u0e01\u0e17\u0e35\u0e48\u0e2a\u0e2d\u0e07\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e08\u0e01\u0e41\u0e08\u0e07\u0e41\u0e1a\u0e1a\u0e17\u0e27\u0e34\u0e19\u0e32\u0e21 (Modified Exponentially Weighted Moving Average Control Chart by Improved Square Root Transformation for Binomial Distribution) \u0e17\u0e38\u0e19\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e1e\u0e23\u0e30\u0e08\u0e2d\u0e21\u0e40\u0e01\u0e25\u0e49\u0e32\u0e1e\u0e23\u0e30\u0e19\u0e04\u0e23\u0e40\u0e2b\u0e19\u0e37\u0e2d 255<\/li><li>\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e2a\u0e39\u0e15\u0e23\u0e2a\u0e33\u0e40\u0e23\u0e47\u0e08\u0e04\u0e48\u0e32\u0e04\u0e27\u0e32\u0e21\u0e22\u0e32\u0e27\u0e27\u0e34\u0e48\u0e07\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e16\u0e48\u0e27\u0e07\u0e19\u0e49\u0e33\u0e2b\u0e19\u0e31\u0e01\u0e40\u0e2d\u0e47\u0e01\u0e0b\u0e4c\u0e42\u0e1b\u0e40\u0e19\u0e19\u0e40\u0e0a\u0e35\u0e22\u0e25\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e21\u0e35\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e2d\u0e31\u0e15\u0e15\u0e2a\u0e2b\u0e2a\u0e31\u0e21\u0e1e\u0e31\u0e19\u0e18\u0e4c\u0e2d\u0e31\u0e19\u0e14\u0e31\u0e1a\u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b (An Explicit Analytical Solution of Average Run Length of Exponentially Weighted Moving Average Control Chart with Autoregressive Model) \u0e17\u0e38\u0e19\u0e2d\u0e38\u0e14\u0e2b\u0e19\u0e38\u0e19\u0e2a\u0e33\u0e19\u0e31\u0e01\u0e07\u0e32\u0e19\u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e27\u0e34\u0e08\u0e31\u0e22\u0e41\u0e2b\u0e48\u0e07\u0e0a\u0e32\u0e15\u0e34 \u0e1b\u0e35\u0e07\u0e1a\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 2558<\/li><li>\u0e2a\u0e39\u0e15\u0e23\u0e2a\u0e33\u0e40\u0e23\u0e47\u0e08\u0e04\u0e48\u0e32\u0e04\u0e27\u0e32\u0e21\u0e22\u0e32\u0e27\u0e27\u0e34\u0e48\u0e07\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e16\u0e48\u0e27\u0e07\u0e19\u0e49\u0e33\u0e2b\u0e19\u0e31\u0e01\u0e40\u0e2d\u0e47\u0e01\u0e0b\u0e4c\u0e42\u0e1b\u0e40\u0e19\u0e19\u0e40\u0e0a\u0e35\u0e22\u0e25 \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e2d\u0e31\u0e15\u0e15\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48 (Explicit Formulas of Average Run Length of Exponentially Weighted Moving Average Control Chart for ARMA Models<strong>) <\/strong>\u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e1e\u0e23\u0e30\u0e08\u0e2d\u0e21\u0e40\u0e01\u0e25\u0e49\u0e32\u0e1e\u0e23\u0e30\u0e19\u0e04\u0e23\u0e40\u0e2b\u0e19\u0e37\u0e2d, 255<\/li><li>\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e23\u0e48\u0e27\u0e21\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e04\u0e48\u0e32\u0e41\u0e19\u0e27\u0e42\u0e19\u0e49\u0e21\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e40\u0e01\u0e34\u0e14\u0e42\u0e23\u0e04\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e40\u0e1d\u0e49\u0e32\u0e23\u0e30\u0e27\u0e31\u0e07\u0e17\u0e32\u0e07\u0e23\u0e30\u0e1a\u0e32\u0e14\u0e27\u0e34\u0e17\u0e22\u0e32 ( Combined Forecasting Techniques for Epidemiological Surveillance Trend) \u0e17\u0e38\u0e19\u0e2d\u0e38\u0e14\u0e2b\u0e19\u0e38\u0e19\u0e2a\u0e33\u0e19\u0e31\u0e01\u0e07\u0e32\u0e19\u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e27\u0e34\u0e08\u0e31\u0e22\u0e41\u0e2b\u0e48\u0e07\u0e0a\u0e32\u0e15\u0e34 \u0e1b\u0e35\u0e07\u0e1a\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 2557<\/li><li>\u0e01\u0e32\u0e23\u0e2b\u0e32\u0e2a\u0e39\u0e15\u0e23\u0e2a\u0e33\u0e40\u0e23\u0e47\u0e08\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e04\u0e27\u0e32\u0e21\u0e22\u0e32\u0e27\u0e27\u0e34\u0e48\u0e07\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e1c\u0e25\u0e23\u0e27\u0e21\u0e2a\u0e30\u0e2a\u0e21\u0e17\u0e32\u0e07\u0e40\u0e14\u0e35\u0e22\u0e27\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e08\u0e01\u0e41\u0e08\u0e07\u0e40\u0e2d\u0e47\u0e01\u0e0b\u0e4c\u0e42\u0e1e\u0e40\u0e19\u0e19\u0e40\u0e0a\u0e35\u0e22\u0e25(Analytical Explicit formula for Performance of Cumulative Sum Procedure for Exponential Distribution) \u0e17\u0e38\u0e19\u0e2d\u0e38\u0e14\u0e2b\u0e19\u0e38\u0e19\u0e2a\u0e33\u0e19\u0e31\u0e01\u0e07\u0e32\u0e19\u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e27\u0e34\u0e08\u0e31\u0e22\u0e41\u0e2b\u0e48\u0e07\u0e0a\u0e32\u0e15\u0e34 \u0e1b\u0e35\u0e07\u0e1a\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13 2556<\/li><li>\u0e2a\u0e39\u0e15\u0e23\u0e2a\u0e33\u0e40\u0e23\u0e47\u0e08\u0e04\u0e48\u0e32\u0e04\u0e27\u0e32\u0e21\u0e22\u0e32\u0e27\u0e27\u0e34\u0e48\u0e07\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15\u0e17\u0e35\u0e48\u0e21\u0e35\u0e28\u0e39\u0e19\u0e22\u0e4c\u0e21\u0e32\u0e01(Closed Form Formula of Average Run Length of Moving Average Control Chart for Nonconforming for Zero-Inflated Process) \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e1e\u0e23\u0e30\u0e08\u0e2d\u0e21\u0e40\u0e01\u0e25\u0e49\u0e32\u0e1e\u0e23\u0e30\u0e19\u0e04\u0e23\u0e40\u0e2b\u0e19\u0e37\u0e2d, 2556.<\/li><li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e2a\u0e2d\u0e07\u0e04\u0e23\u0e31\u0e49\u0e07\u0e41\u0e25\u0e30\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e16\u0e48\u0e27\u0e07\u0e19\u0e49\u0e33\u0e2b\u0e19\u0e31\u0e01\u0e41\u0e1a\u0e1a\u0e0a\u0e35\u0e49\u0e01\u0e33\u0e25\u0e31\u0e07\u0e17\u0e35\u0e48\u0e41\u0e1a\u0e1a\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07 (A Comparison of Performance of Double Moving Average and Improved Exponentially Weighted Moving Average Control Charts) \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e1e\u0e23\u0e30\u0e08\u0e2d\u0e21\u0e40\u0e01\u0e25\u0e49\u0e32\u0e1e\u0e23\u0e30\u0e19\u0e04\u0e23\u0e40\u0e2b\u0e19\u0e37\u0e2d, 2554.<\/li><li>\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e01\u0e32\u0e23\u0e40\u0e15\u0e34\u0e1a\u0e42\u0e15\u0e18\u0e38\u0e23\u0e01\u0e34\u0e08\u0e1b\u0e23\u0e30\u0e01\u0e31\u0e19\u0e20\u0e31\u0e22\u0e0a\u0e35\u0e27\u0e34\u0e15 (A Model for Forecasting the Growth of the Life Insurance Business) \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e18\u0e38\u0e23\u0e01\u0e34\u0e08\u0e1a\u0e31\u0e13\u0e11\u0e34\u0e15\u0e22\u0e4c, 254<\/li><li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e43\u0e19\u0e01\u0e23\u0e13\u0e35\u0e17\u0e35\u0e48\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e21\u0e35\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e24\u0e14\u0e39\u0e01\u0e32\u0e25 \u0e01\u0e23\u0e13\u0e35\u0e28\u0e36\u0e01\u0e29\u0e32: \u0e1b\u0e23\u0e34\u0e21\u0e32\u0e13\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e19\u0e49\u0e33\u0e21\u0e31\u0e19\u0e1b\u0e34\u0e42\u0e15\u0e23\u0e40\u0e25\u0e35\u0e22\u0e21\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22 (A Comparison of Forecasting Methods of Seasonal Index Data case study: Petroleum Consumption in Thailand) \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e18\u0e38\u0e23\u0e01\u0e34\u0e08\u0e1a\u0e31\u0e13\u0e11\u0e34\u0e15\u0e22\u0e4c, 254<\/li><\/ol><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1374\" aria-expanded=\"false\">Other Activities<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1374\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1374\" tabindex=\"0\" hidden=\"hidden\"><h2>\u0e1b\u0e23\u0e30\u0e27\u0e31\u0e15\u0e34\u0e01\u0e32\u0e23\u0e1d\u0e36\u0e01\u0e2d\u0e1a\u0e23\u0e21<\/h2><ol><li>\u0e01\u0e32\u0e23\u0e43\u0e0a\u0e49\u0e42\u0e1b\u0e23\u0e41\u0e01\u0e23\u0e21 LISREL \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e2a\u0e38\u0e42\u0e02\u0e17\u0e31\u0e22\u0e18\u0e23\u0e23\u0e21\u0e32\u0e18\u0e34\u0e23\u0e32\u0e0a \u0e27\u0e31\u0e19\u0e17\u0e35\u0e48 26-30 \u0e1e\u0e24\u0e28\u0e08\u0e34\u0e01\u0e32\u0e22\u0e19 2555<\/li><li>\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e04\u0e48\u0e32\u0e2a\u0e38\u0e14\u0e02\u0e35\u0e14\u0e14\u0e49\u0e27\u0e22\u0e42\u0e1b\u0e23\u0e41\u0e01\u0e23\u0e21 R \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e21\u0e2b\u0e32\u0e2a\u0e32\u0e23\u0e04\u0e32\u0e21<\/li><\/ol><h2>\u0e01\u0e34\u0e08\u0e01\u0e23\u0e23\u0e21\u0e2d\u0e37\u0e48\u0e19\u0e46<\/h2><p>&#8211; \u0e1c\u0e39\u0e49\u0e17\u0e23\u0e07\u0e04\u0e38\u0e13\u0e27\u0e38\u0e12\u0e34\u0e43\u0e19\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e40\u0e21\u0e34\u0e19\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e02\u0e2d\u0e07\u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e15\u0e48\u0e32\u0e07\u0e46<\/p><p>&#8211; \u0e1c\u0e39\u0e49\u0e40\u0e0a\u0e35\u0e48\u0e22\u0e27\u0e0a\u0e32\u0e0d\u0e1c\u0e39\u0e49\u0e15\u0e23\u0e27\u0e08\u0e2a\u0e2d\u0e1a\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e21\u0e37\u0e2d\u0e27\u0e34\u0e08\u0e31\u0e22<\/p><ul><li>2565-2558\u00a0 \u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e01\u0e25\u0e31\u0e48\u0e19\u0e01\u0e23\u0e2d\u0e07\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e0a\u0e38\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e41\u0e25\u0e30\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e19\u0e32\u0e19\u0e32\u0e0a\u0e32\u0e15\u0e34 (ICAS 2021)<\/li><li>2564\u00a0 \u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e27\u0e34\u0e1e\u0e32\u0e01\u0e22\u0e4c\u0e2b\u0e25\u0e31\u0e01\u0e2a\u0e39\u0e15\u0e23\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e1b\u0e23\u0e34\u0e0d\u0e0d\u0e32\u0e15\u0e23\u0e35 \u0e2a\u0e32\u0e02\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e08\u0e31\u0e14\u0e01\u0e32\u0e23\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 \u0e04\u0e13\u0e30\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e41\u0e21\u0e48\u0e42\u0e08\u0e49<\/li><li>2564 \u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e2b\u0e25\u0e31\u0e01\u0e2a\u0e39\u0e15\u0e23\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e21\u0e2b\u0e32\u0e1a\u0e31\u0e13\u0e11\u0e34\u0e15 \u0e2a\u0e32\u0e02\u0e32\u0e27\u0e34\u0e0a\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c\u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e40\u0e0a\u0e34\u0e07\u0e25\u0e36\u0e01 \u0e04\u0e13\u0e30\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e0a\u0e35\u0e22\u0e07\u0e43\u0e2b\u0e21\u0e48<\/li><li>2563 \u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e27\u0e34\u0e1e\u0e32\u0e01\u0e22\u0e4c\u0e2b\u0e25\u0e31\u0e01\u0e2a\u0e39\u0e15\u0e23\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e1b\u0e23\u0e34\u0e0d\u0e0d\u0e32\u0e15\u0e23\u0e35 \u0e2a\u0e32\u0e02\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e23\u0e32\u0e0a\u0e20\u0e31\u0e0f\u0e40\u0e0a\u0e35\u0e22\u0e07\u0e43\u0e2b\u0e21\u0e48<\/li><li>2561- \u0e1b\u0e31\u0e08\u0e08\u0e38\u0e1a\u0e31\u0e19<strong>\u00a0 <\/strong>\u00a0\u0e01\u0e2d\u0e07\u0e1a\u0e23\u0e23\u0e13\u0e32\u0e18\u0e34\u0e01\u0e32\u0e23\u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23 Thailand Statistician \u0e2a\u0e21\u0e32\u0e04\u0e21\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e41\u0e2b\u0e48\u0e07\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22<\/li><li>2560 \u0e1c\u0e39\u0e49\u0e17\u0e23\u0e07\u0e04\u0e38\u0e13\u0e27\u0e38\u0e12\u0e34\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e2b\u0e25\u0e31\u0e01\u0e2a\u0e39\u0e15\u0e23\u0e1b\u0e23\u0e31\u0e0a\u0e0d\u0e32\u0e14\u0e38\u0e29\u0e0e\u0e35\u0e1a\u0e31\u0e13\u0e11\u0e34\u0e15 \u0e20\u0e32\u0e04\u0e27\u0e34\u0e0a\u0e32\u0e04\u0e13\u0e34\u0e15\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e04\u0e13\u0e30\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e21\u0e2b\u0e32\u0e2a\u0e32\u0e23\u0e04\u0e32\u0e21<\/li><li>2559 \u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e2b\u0e25\u0e31\u0e01\u0e2a\u0e39\u0e15\u0e23\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e21\u0e2b\u0e32\u0e1a\u0e31\u0e13\u0e11\u0e34\u0e15 \u0e2a\u0e32\u0e02\u0e32\u0e27\u0e34\u0e0a\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c \u0e04\u0e13\u0e30\u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e0a\u0e35\u0e22\u0e07\u0e43\u0e2b\u0e21\u0e48<\/li><li>2558\u00a0\u00a0 \u0e2d\u0e19\u0e38\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e14\u0e49\u0e32\u0e19\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e2a\u0e16\u0e34\u0e15\u0e34 \u0e2a\u0e33\u0e19\u0e31\u0e01\u0e07\u0e32\u0e19\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e41\u0e2b\u0e48\u0e07\u0e0a\u0e32\u0e15\u0e34<\/li><li>2558\u00a0\u00a0 \u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e01\u0e25\u0e31\u0e48\u0e19\u0e01\u0e23\u0e2d\u0e07\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e0a\u0e38\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e41\u0e25\u0e30\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e19\u0e32\u0e19\u0e32\u0e0a\u0e32\u0e15\u0e34 (ICAS 2015)<\/li><li>2557\u00a0\u00a0 \u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e01\u0e25\u0e31\u0e48\u0e19\u0e01\u0e23\u0e2d\u0e07\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e0a\u0e38\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e41\u0e25\u0e30\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e19\u0e32\u0e19\u0e32\u0e0a\u0e32\u0e15\u0e34 (ICAS 2014)<\/li><li>2556\u00a0\u00a0 \u0e04\u0e13\u0e30\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e01\u0e25\u0e31\u0e48\u0e19\u0e01\u0e23\u0e2d\u0e07\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e0a\u0e38\u0e21\u0e27\u0e34\u0e0a\u0e32\u0e01\u0e32\u0e23\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e41\u0e25\u0e30\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e19\u0e32\u0e19\u0e32\u0e0a\u0e32\u0e15\u0e34 (ICAS 2013)<\/li><li>2555-\u0e1b\u0e31\u0e08\u0e08\u0e38\u0e1a\u0e31\u0e19\u00a0\u00a0\u0e1c\u0e39\u0e49\u0e17\u0e23\u0e07\u0e04\u0e38\u0e13\u0e27\u0e38\u0e12\u0e34\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e2b\u0e25\u0e31\u0e01\u0e2a\u0e39\u0e15\u0e23 \u0e27\u0e34\u0e17\u0e22\u0e32\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e1a\u0e31\u0e13\u0e11\u0e34\u0e15 \u0e2a\u0e32\u0e02\u0e32\u0e2a\u0e16\u0e34\u0e15\u0e34 \u0e21\u0e2b\u0e32\u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e40\u0e01\u0e29\u0e15\u0e23\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c<\/li><\/ul><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Professor Yupaporn Areepong, Ph.D. Specialist : Statistical Process Control, Sequential Change-point Analysis, Forecasting and Time Series Analysis, Multivariate analysis Current Position Lecturer of Applied Statistics,King Mongkut\u2019s University of Technology North Bangkok Management Position Head of Department of Applied Statistics, King Mongkut\u2019s University of Technology North Bangkok Contact Department of Applied Statistics, The Faculty of Applied [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[71],"tags":[],"class_list":["post-1860","post","type-post","status-publish","format-standard","hentry","category-71"],"_links":{"self":[{"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=\/wp\/v2\/posts\/1860","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1860"}],"version-history":[{"count":17,"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=\/wp\/v2\/posts\/1860\/revisions"}],"predecessor-version":[{"id":5039,"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=\/wp\/v2\/posts\/1860\/revisions\/5039"}],"wp:attachment":[{"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1860"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1860"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stat.sci.kmutnb.ac.th\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1860"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}