A noninformative Bayesian approach to domain estimation

Glen Meeden

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Rather than an estimate of the population mean or total sometimes an estimate of the mean or total of a subpopulation or domain is desired. For such problems the number of units in the sample that fall into the domain is a random variable. This causes some complications for the usual frequentist approach. Here we give a simple and coherent noninformative Bayesian approach to domain estimation.

Original languageEnglish (US)
Pages (from-to)85-92
Number of pages8
JournalJournal of Statistical Planning and Inference
Issue number1-2 SPEC. ISS.
StatePublished - Feb 15 2005

Bibliographical note

Funding Information:
Research supported in part by NSF Grant DMS 9971331.

Copyright 2004 Elsevier B.V., All rights reserved.


  • Domain estimation
  • Polya posterior and noninformative Bayes
  • Sample survey


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