Post-Stratification against Bias in Sampling

DOI10.2307/1403141zbMath0603.62010OpenAlexW2315858888MaRDI QIDQ3740019

Peter Jagers

Publication date: 1986

Published in: International Statistical Review / Revue Internationale de Statistique (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/1403141

zbMATH Keywords

upper boundnonresponseundercoveragepopulation meanapproximate confidence intervalreduction of biasminimum variance unbiased ML estimatorpoststratification estimator

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Related Items (7)

Estimation in semiparametric models using an auxiliary model ⋮ An alternative to ratio estimator in post-stratification ⋮ A new ratio type estimator for computation of population mean under post-stratification ⋮ Estimation in post-stratification ⋮ Penalized calibration in survey sampling: design-based estimation assisted by mixed models ⋮ Estimation of Mean Using Auxiliary Information and Post-Stratification ⋮ On the bias of the generalized regression estimator in survey sampling

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