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):

Report Date:

1986-07-01

Pagination or Media Count:

15.0

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.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE