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)|
|Number of pages||8|
|Journal||Journal of Statistical Planning and Inference|
|Issue number||1-2 SPEC. ISS.|
|State||Published - Feb 15 2005|
Bibliographical noteFunding 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