Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9741786 | Journal of Statistical Planning and Inference | 2005 | 8 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Glen Meeden,