Admissible estimators in finite population sampling employing various types of prior information

DOI10.1016/0378-3758(83)90004-6zbMath0518.62008OpenAlexW2073731782MaRDI QIDQ1054088

Glen Meeden, Stephen B. Vardeman

Publication date: 1983

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(83)90004-6

zbMATH Keywords

Dirichlet processpopulation variancepopulation totalpopulation meanfinite population samplingdifference estimatorBasu estimatoruniform admissibility

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Admissibility in statistical decision theory (62C15)

Related Items (3)

Equilibrated strategy for population variance estimation ⋮ On the consistency between model-and design-based estimators in survey sampling ⋮ Some results on admissibility and uniform admissibility in double sampling

Cites Work

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• Admissibility in finite problems
• On estimating the variance of a finite population
• A Bayesian analysis of some nonparametric problems
• Contributions to the theory of Dirichlet processes
• Bayes and equtvariant estimators of the variance of a finite population: part I, simple random sampling
• On a Class of Uniformly Admissible Estimators of a Finite Population Total
• Admissibility and Bayes Estimation in Sampling Finite Populations--V
• Admissibility and Bayes Estimation in Sampling Finite Populations. III
• Admissibility and Bayes Estimation in Sampling Finite Populations-IV
• A new estimation theory for sample surveys

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