Accession Number : ADA181145
Title : Binomial N Estimation. A Bayes Empirical Bayes Approach.
Descriptive Note : Technical rept. Dec 86-Jun 88,
Corporate Author : WASHINGTON UNIV SEATTLE DEPT OF STATISTICS
Personal Author(s) : Raftery,Adrian E
PDF Url : ADA181145
Report Date : Jul 1986
Pagination or Media Count : 15
Abstract : A Bayes empirical Bayes approach to the problem of estimating N in the binomial distribution is presented. This provides a simple and flexible way of specifying prior information, and also allows a convenient representation of vague prior knowledge. In addition. it yields a solution to the interval estimation problem. The Bayes estimator corresponding to the relative squared error loss function and a vague prior distribution is shown to be stable, and to compare favorably with the estimators introduced by Olkin et al. (1981) and Carroll and Lombard (1985).
Descriptors : *BINOMIALS, *ESTIMATES, BAYES THEOREM, INTERVALS, STATISTICAL DISTRIBUTIONS
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE