New transformed estimators in the presence of missing data: a case study on COVID-19

DOI10.1134/S1995080224601553MaRDI QIDQ6634974

Nuanpan Lawson, Natthapat Thongsak

Publication date: 8 November 2024

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

zbMATH Keywords

biasmean square errorpopulation mean estimatortransformed auxiliary variablepercentage relative efficiency

Mathematics Subject Classification ID

Statistics (62-XX) Mathematical sociology (including anthropology) (91Dxx) Statistical sampling theory and related topics (62Dxx)

Cites Work

• Imputation by power transformation
• A combined family of dual to ratio estimators using a transformed auxiliary variable
• 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
• 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
• 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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