New transformed estimators in the presence of missing data: a case study on COVID-19
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Publication:6634974
DOI10.1134/S1995080224601553MaRDI QIDQ6634974
Nuanpan Lawson, Natthapat Thongsak
Publication date: 8 November 2024
Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)
biasmean square errorpopulation mean estimatortransformed auxiliary variablepercentage relative efficiency
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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