Department of Applied Statistics, The Faculty of Applied Science, KMUTNB

Education

Experience

Publications

1. Lawson, Nuanpan (2023). An improved family of estimators for estimating population mean using a transformed auxiliary variable under double sampling, Songklanakarin Journal of Science and Technology, 45(2), 165-172.
2. Lawson, Nuanpan (2023). Improved Ratio Type Estimators using some Prior Information in Sample Surveys: A Case Study of Fine Particulate Matter in Thailand, WSEAS Transactions on Systems, 22, 538-542.
3. Ponkaew, Chugiat and Lawson, Nuanpan (2023). New generalized regression estimators using a ratio method and its variance estimation for unequal probability sampling without replacement in the presence of nonresponse. Current Applied Science and Technology, 23(2), 1-7.
4. Lawson, Nuanpan (2022). An Improved Family of Estimators for Estimating Population Mean Using Robust Regression in the Presence of Outliers, Lobachevskii Journal of Mathematics, 43(11).
5. Thongsak, Natthapat and Lawson, Nuanpan (2022). Bias and mean square error reduction by changing the shape of the distribution of an auxiliary variable: application to air pollution data in Nan, Thailand, Mathematical Population Studies.
6. Ponkaew, Chugiat and Lawson, Nuanpan (2022). New estimators for estimating population total: an application to water demand in Thailand under unequal probability sampling without replacement for missing data, PeerJ.
7. Thongsak, Natthapat and Lawson, Nuanpan (2022). Classes of Population Mean Estimators using Transformed Variables in Double Sampling, Accepted for publication in Gazi University Journal of Science.
8. Thongsak, Natthapat and Lawson, Nuanpan (2022). Classes of combined population mean estimators utilizing transformed variables under double sampling: an application to air pollution in Chiang Rai, Thailand, Songklanakarin Journal of Science and Technology, 44(5), 1390-1398.
9. Chodjuntug, Kanisa and Lawson, Nuanpan (2022). The chain regression exponential type imputation method for mean estimation in the presence of missing data, Songklanakarin Journal of Science and Technology, 44(4).
10. Chodjuntug, Kanisa and Lawson, Nuanpan (2022). Imputation for estimating the population mean in the presence of nonresponse, with application to fine particle density in Bangkok, Mathematical Population Studies, 1 – 22.
11. Lawson, Nuanpan (2021). An alternative family of combined estimators for estimating population mean in finite populations. Lobachevskii Journal of Mathematics, 42(13), 3150–3157.
12. Lawson, Nuanpan and Siripanich, Pachitjanut (2020). A new generalized regression estimator and variance estimation for unequal probability sampling without replacement for missing data, Communications in Statistics -Theory and Methods.
13. Chodjuntug, Kanisa and Lawson, Nuanpan (2020). A chain ratio exponential-type compromised imputation for mean estimation: case study on ozone pollution in Saraburi, Thailand, Journal of Probability and Statistics.
14. Ponkaew, Chugiat and Lawson, Nuanpan (2019). Estimating variance in the presence of nonresponse under unequal probability sampling without replacement. Suranaree Journal of Science & Technology, 26(3) , 293-302.
15. Lawson, Nuanpan and Ponkaew, Chugiat (2019). New generalized regression estimator in the presence of nonresponse under unequal probability sampling, Communications in Statistics -Theory and Methods, 48(10), 2483-2498.
16. Ponkaew, Chugiat and Lawson, Nuanpan (2019). New population total estimators under stratified sampling design in the presence of nonresponse, Thailand Statistician, 17(2), 198-211.
17. Lawson, Nuanpan (2019). Ratio estimators of population means using quartile function of auxiliary variable using double sampling, Songklanakarin Journal of Science and Technology, 41(1), 117-122.
18. Jaroengeratikun, Uraiwan and Lawson, Nuanpan (2019). A combined family of ratio estimators for population mean using an auxiliary variable in simple random sampling, Journal of Mathematical and Fundamental Sciences, 51(1), 1-12.
19. Ponkaew, Chugiat and Lawson, Nuanpan (2018). A new ratio estimator for population total in the presence of nonresponse under unequal probability sampling without replacement, Thai Journal of Mathematics: Special Issue (ACEPTO2018) on : Advances in fixed point theory towards real world optimization problems, 417-429.
20. Soponviwatkul, Kamolthip and Lawson, Nuanpan (2017). New ratio estimators for estimating population mean in simple random sampling using a coefficient of variation, correlation coefficient and a regression coefficient, Gazi University Journal of Science, 30(4), 610-621.
21. Lawson, Nuanpan and Skinner, Chris (2017). Estimation of a cluster – level regression model under nonresponse within clusters. Metron, 75(3), pp. 319-331
22. Rachokarn, Thanapanang and Lawson, Nuanpan (2017). A class of ratio chain type exponential estimator for population mean in the presence of non-response. International Journal of Agricultural and Statistical Sciences, 13(2) , pp. 431-437.
23. Rachokarn, Thanapanang and Lawson, Nuanpan (2017). An efficient general class of ratio-cum-dual to product estimators for population mean in the presence of nonresponse. International Journal of Agricultural and Statistical Sciences, 13(1), 61-66.
24. Rachokarn, Thanapanang and Lawson, Nuanpan (2017). An efficient general family of estimators for population mean in the presence of non-response. Journal of Mathematical and Fundamental Sciences, 49(3), 283-293.
25. Rachokarn, Thanapanang and Lawson, Nuanpan (2017). Improvement in estimating the population mean using exponential type estimator in the presence of nonresponse. International Journal of Scientific and Research Publications, Volume 7, Issue 6, 87-90.

Proceedings

1. Thongsak, N. and Lawson, N. (2021). Classes of Dual to Modified Ratio Estimators for Estimating Population Mean in Simple Random Sampling, Proceeding of the 2021 Research, Invention and Innovation Congress, 211-215.
2. Lawson, N. (2020). Variance Estimation in the Presence of Nonresponse with Free Joint Inclusion Probability under Unequal Probability Sampling without Replacement, Proceeding of the 3rd International Conference on Big Data and Education (ICBDE 2020),April 2020, London, UK.
3. Lawson, N. (2019). An Adjusted General Family of Population Mean Estimators in the Presence of Non-response under Two- phase Sampling without Known Population Mean of Auxiliary Variable, Proceeding of the 2nd International Conference on Computers in Management and Business (ICCMB 2019), 24-27 March 2019, Cambridge, UK.
4. Lawson, N and Rachokarn, T. (2018). An Efficient General Family of Estimators For Population Mean When Non-Response Occurs in the Study Variable, Proceeding of the ICRST (2018) IVth International Conference on Researches in Science & Technology South Kensington Campus, Imperial College London, UK.
5. Lawson, N. (2017). Variance Estimation in the Presence of Nonresponse under Probability Proportional to Size Sampling, Proceeding of the 6th Annual International Conference on Computational Mathematics, Computational Geometry and Statistics 2017 (CMCGS 2017) 6th-7th March 2017, Singapore.
6. Lawson, N. (2016). Estimating Population Mean Using Transformed Variables in Double Sampling, Proceeding of the 18th International Conference on Engineering and Technology, Computer, Basic and Applied Science (ECBA 2016), 21-22 December 2016, Hong Kong.
7. Rachokarn, T and Lawson, N. (2016) An Efficient Family of Estimators for the Population Mean Using Auxiliary Information in the Presence of Missing Observations, Proceeding of the 2nd International Conference on Mathematics, Engineering and Industrial Application (ICoMEIA 2016), 10th-12nd August 2016, Songkhla, Thailand.
8. Ponkaew, C. and Lawson, N, (2016). Variance Estimation for the Population Total Estimator in the Presence of Nonresponse, Proceeding of the 2nd International Conference on Mathematics, Engineering and Industrial Application (ICoMEIA 2016), 10th-12nd August 2016, Songkhla, Thailand.
9. Nangsue(Lawson), Nuanpan. (2013). Estimation of Cluster-level Regression Model under Nonresponse within Clusters. (2013). Proceeding of the Graybill Conference Modern Survey Statistics, June 9-12, 2013, Colorado State University-Fort Collins, Colorado, USA.
10. Nangsue (Lawson), N and Berger, Y.G. (2013). A weighting method for stratified two-stage sampling. Proceeding of the ITACOSM2013, 26-28 June 2013, University of Milano-Bicocca, Italy.
11. Nangsue (Lawson), N. (2011). Adjusting for nonresponse in the analysis of sample survey data. Proceeding of the 34th Research Students Conference in Probability and Statistics, 4th-7th April 2011, University of Cambridge, UK.
12. Nangsue (Lawson), N. (2009). Adjusted ratio and regression type estimators for estimation of population mean when some observations are missing, World Academy of Science, Engineering and Technology, Vol:3: 654-657, Japan.
13. Nangsue (Lawson), N. and Sappakitkamjorn, J. (2008). Variance estimation of the ratio estimator of the population mean in simple random sampling, Proceeding of the Third Workshop on Statistics, Mathematics and Computation and First Portuguese-Polish Workshop on Biometry, 21-22 July 2008, Lisbon, Portugal.
14. Nangsue (Lawson), N. and Bodhisuwan, W.(2007). Capture-recapture method for estimation of population size on several occasions. Proceeding of the International Conference of Statistics under One Umbrella, 27-30 March 2007, Bielefeld University, Bielefeld, Germany.
15. Nangsue (Lawson), N.(2006). Forecasting the value of Thai silk exports. Proceeding of the 26th Conference on Applied Statistics in Ireland, CASI 2006, 17-19 May 2006. Cork, Ireland.
16. Nangsue (Lawson), N.(2004). Comparing some estimators using the capture-recapture method for estimation of population size. Proceeding of the 5th Statistical Conference held in North Thailand 27-29 May, 2004 at Chiangmai University, Chiangmai.

Books

1. Nangsue (Lawson), Nuanpan and Berger, Yves, (2014). Optimal Regression Estimator for Stratified Two-Stage Sampling. Contributions to Sampling Statistics. Cham, CH, Springer, 167-177. Contributions to Statistics
2. นวลพรรณ ลอว์สัน (2562). เทคนิคการสุ่มตัวอย่าง. กรุงเทพมหานคร: ศูนย์ผลิตตำราเรียน มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ. พิมพ์ครั้งที่ 5
3. นวลพรรณ ลอว์สัน (2565). การวิเคราะห์ข้อมูลจำแนกประเภท. กรุงเทพมหานคร: ศูนย์ผลิตตำราเรียน มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ.

Awards

1. Bachelor of Science in Applied Statistics (First Class Honours), March 20, 1997.
2. A certificate for being the top student in year 2 of Bachelor of Science in Applied Statistics,1995.
3. A certificate for being the top student in year 3 of Bachelor of Science in Applied Statistics,1996.
4. Scholarship to study in year 3 and year 4 of Bachelor of Science in Applied Statistics, 1996-1997.
5. A prize for being the top student in year 1 of Master of Science in Statistics, 1998.
6. Scholarship to study in year 1 and year 2 of Master of Science in Statistics, 1998-1999.
7. Scholarship to study PhD from the Office of the Higher Education Commission.
8. The best paper award for an oral presentation at the ICRST (2018) IVth International Conference on Researches in Science & Technology at South Kensington Campus, Imperial College London, UK.

Keynote speaker

1. Keynote speaker for the 2020 – 16th International Conference on Mathematics, Statistics and Their Application (ICMSA), 23-24 November, Malaysia
2. Keynote speaker for the 2020 – 12th International Conference on Research in Life-Sciences & Healthcare (ICRLSH), 17-18 July, Bangkok