Nuanpan Lawson

King Mongkut's University of Technology North Bangkok — Thailand

Mathematics · Physical Sciences

9h-index240citations49works2.42yr avg
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Research Topics

Survey Sampling and Estimation Techniques(43), Statistical Methods and Bayesian Inference(9), COVID-19 epidemiological studies(8), Advanced Statistical Methods and Models(8), Statistical Distribution Estimation and Applications(5)

Publications49 total

Count Data Models and Machine Learning Methods with Applications to New COVID-19 Cases using Air Pollution Data in Bangkok, Thailand
WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT·2025Open Access
Estimation of COVID-19 Incidence based on PM2.5 in Chiang Mai, Thailand using New Transformed Estimators in the Presence of Missing Observations
WSEAS TRANSACTIONS ON SYSTEMS·2025Open Access
Ratio Type Transformed Estimators for Estimating Population Mean Using Models for Count Data with Applications to COVID-19 Incidence
Lobachevskii Journal of Mathematics·2025
Nonresponse Adjustment using Auxiliary Variables Subject themselves to Missing Data
WSEAS TRANSACTIONS ON SYSTEMS·2025Open Access
A Class of Regression-type Estimators for Population Mean Utilizing Transformed Variable with Missing Data with an Application to COVID-19
Lobachevskii Journal of Mathematics·2025· 1 cited
A Class of Combined Population Mean Estimators Using Transformed Variables in Double Sampling: A Case Study on Fine Particulate Matter in Chiang Rai, Thailand
Lobachevskii Journal of Mathematics·2024
A Class of Transformed Population Mean Estimators with an Application to Missing COVID-19 Data in Chiang Mai, Thailand
Lobachevskii Journal of Mathematics·2024· 2 cited
A Class of Ratio Estimators for Estimating Population Mean Using a Transformed Auxiliary Variable Under Stratified Random Sampling
Lobachevskii Journal of Mathematics·2024· 4 cited
Review of how the generalized regression estimators contribute to estimating the financial and economic data with missing observations under unequal probability sampling
Asian Journal of Economics and Banking·2024· 1 citedOpen Access
New Transformed Estimators in the Presence of Missing Data: A Case Study on COVID-19
Lobachevskii Journal of Mathematics·2024· 4 cited
Transformed Regression Type Estimators in the Presence of Missing Observations: Case Studies on COVID-19 Incidence in Chiang Mai, Thailand
WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE·2024· 6 citedOpen Access
A Class of Population Mean Estimators in Stratified Random Sampling: A Case Study on Fine Particulate Matter in the North of Thailand
WSEAS TRANSACTIONS ON MATHEMATICS·2024· 8 citedOpen Access
New Ratio Estimators for Population Mean under Unequal Probability Sampling Without Replacement in the Presence of Missing Data: A Case Study on Fine Particulate Matter in Bangkok, Thailand
Current Applied Science and Technology·2024· 5 citedOpen Access
Power ratio cum median-based ratio estimator of finite population mean with known population median
Statistics in Transition New Series·2023Open Access
A Combined Transformed Variable for Population Mean Estimators When Missing Data Occur with an Application to COVID-19 Incidence
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL·2023· 2 citedOpen Access
A new imputation method for population mean in the presence of missing data based on a transformed variable with applications to air pollution data in Chiang Mai, Thailand
Journal of Air Pollution and Health·2023· 3 citedOpen Access
New Imputation Method for Estimating Population Mean in the Presence of Missing Data
Lobachevskii Journal of Mathematics·2023· 8 cited
A Class of Population Mean Estimators in the Presence of Missing Data with Applications to Air Pollution in Chiang Mai, Thailand
Lobachevskii Journal of Mathematics·2023· 2 cited
Improved Ratio Type Estimators using some Prior Information in Sample Surveys: A Case Study of Fine Particulate Matter in Thailand
WSEAS TRANSACTIONS ON SYSTEMS·2023· 3 citedOpen Access
Classes of Population Mean Estimators using Transformed Variables in Double Sampling
GAZI UNIVERSITY JOURNAL OF SCIENCE·2023· 3 citedOpen Access
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Frequent Co-authors

Natthapat Thongsak(14), Chugiat Ponkaew(8), Thanapanang Rachokarn(4), Kanisa Chodjuntug(2), Uraiwan Jaroengeratikun(2), Chris Skinner(2), Pachitjanut Siripanich(1), Thitanont Charurotkeerati(1), Sasinun Choeychit(1), ศศินันท์ เชยชิต(1), นวลพรรณ ลอว์สัน(1), Umar Abdullahi(1), Fidelis Ifeanyi Ugwuowo(1), Chatchaya Nangsue(1), Chainarong Tocharus(1)