A noninformative Bayesian approach to domain estimation

Glen Meeden

doi:10.1016/j.jspi.2004.06.040

A noninformative Bayesian approach to domain estimation

Glen Meeden

Statistics (Twin Cities)

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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 language	English (US)
Pages (from-to)	85-92
Number of pages	8
Journal	Journal of Statistical Planning and Inference
Volume	129
Issue number	1-2 SPEC. ISS.
DOIs	https://doi.org/10.1016/j.jspi.2004.06.040
State	Published - Feb 15 2005

Bibliographical note

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

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

Keywords

Domain estimation
Polya posterior and noninformative Bayes
Sample survey

Publisher link

10.1016/j.jspi.2004.06.040

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KW - Polya posterior and noninformative Bayes

KW - Sample survey

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ER -

A noninformative Bayesian approach to domain estimation

Abstract

Bibliographical note

Keywords

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