Estimation of population mean in successive sampling under super-population model in presence of random non response situations

DOI10.1080/03610926.2018.1481978OpenAlexW2896664648WikidataQ129126275 ScholiaQ129126275MaRDI QIDQ5866119

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Publication date: 10 June 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1481978

zbMATH Keywords

linear modelauxiliary variableoptimum replacement policysuccessive samplingexpected variancesuper-population model

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

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• Rotation Patterns Under Imputation of Missing Data Over Two-Occasion
• Improved Estimators of the Population Mean for Missing Data
• Some Imputation Methods to Minimize the Effect of Non Response in Two-Occasion Rotation Patterns
• A study of ratio and product estimators under a super population model
• A note on the application of Quenouille's method of bias reduction to the estimation of ratios
• Inference and missing data
• A new method of imputation in survey sampling
• RATIO ESTIMATION AND FINITE POPULATIONS: SOME RESULTS DEDUCIBLE FROM THE ASSUMPTION OF AN UNDERLYING STOCHASTIC PROCESS
• Estimation of finite population variance using random non-response in survey sampling.

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