A class of transformed population mean estimators with an application to missing COVID-19 data in Chiang Mai, Thailand

DOI10.1134/S1995080224605022MaRDI QIDQ6656890

Natthapat Thongsak, Nuanpan Lawson

Publication date: 3 January 2025

Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)

zbMATH Keywords

biasmean square errorpopulation mean estimatorCOVID-19transformed variable

Mathematics Subject Classification ID

Statistics (62-XX) Parametric inference (62Fxx) Statistical sampling theory and related topics (62Dxx)

Cites Work

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• Imputation by power transformation
• Estimators for the Population Mean in the Case of Missing Data
• A dual to ratio estimator in sample surveys
• Imputation for estimating the population mean in the presence of nonresponse, with application to fine particle density in Bangkok
• Estimation in Surveys with Nonresponse
• New imputation method for estimating population mean in the presence of missing data
• A class of population mean estimators in the presence of missing data with applications to air pollution in Chiang Mai, Thailand

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