On optimality of imputation methods for estimation of population mean using higher order moment of an auxiliary variable

DOI10.1080/03610918.2018.1500595OpenAlexW2902874224WikidataQ128823980 ScholiaQ128823980MaRDI QIDQ5086306

Shashi Bhushan, Arvind Pandey, Abhay Pratap Pandey

Publication date: 5 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1500595

zbMATH Keywords

imputationmissing datahigher order moment

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (7)

Some general classes of efficient estimators in case of missing data ⋮ Efficient imputation methods to handle missing data in sample surveys ⋮ On optimal classes of estimators under ranked set sampling ⋮ Comparative study of different imputation methods ⋮ Estimation of population mean in presence of missing data under simple random sampling ⋮ Optimality of ratio-type imputation methods for estimation of population mean using higher order moment of an auxiliary variable ⋮ Optimal imputation of the missing data using multi auxiliary information

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• An alternative estimator for multi-character surveys.
• Estimation of ratio of population means in survey sampling when some observations are missing
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