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

Stephen Vardeman, Glen Meeden

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

We consider some estimators of the total and variance of a finite population from Bayesian and pseudo-Bayesian perspectives. Recently, Meeden and Ghosh (1982a, 1982b) have provided quite simple but powerful tools for proving admissibility of estimators and estimator-design pairs is finite population sampling problems. We consider what these techniques yield in the way of admissibility results for the estimators discussed.

Original languageEnglish (US)
Pages (from-to)329-341
Number of pages13
JournalJournal of Statistical Planning and Inference
Volume7
Issue number4
DOIs
StatePublished - 1983

Keywords

  • Admissibility
  • Basu estimator
  • Bayes
  • Difference estimator
  • Dirichlet process
  • Finite population sampling
  • Uniform admissibility

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