Accession Number:

ADA183432

Title:

Inference for the Binomial N Parameter: A Bayes Empirical Bayes Approach. Revision.

Descriptive Note:

Technical rept.,

Corporate Author:

WASHINGTON UNIV SEATTLE DEPT OF STATISTICS

Personal Author(s):

• Raftery, Adrian E.

Report Date:

1987-07-01

Pagination or Media Count:

18.0

Abstract:

The problem of inference about the binomial N parameter is considered. Applications arise in situations where an unknown population size is to be estimated. Previous work has focused on point estimation, but many applications require interval estimation, prediction, and decision-making. A Bayes empirical Bayes approach is presented. This provides a simple and flexible way of specifying prior information, and also allows a convenient representation of vague prior knowledge. It yields solutions to the problems interval estimation, prediction, and decision-making, as well as that of point estimation. The Bayes estimator compares favorably with the best, previously proposed, point estimators in the literature. The Bayesian estimation interval which corresponds to a vague prior distribution also performs satisfactorily when used as a frequentist confidence interval.

Descriptors:

• *BINOMIALS
• *STATISTICAL INFERENCE
• *PARAMETERS
• BAYES THEOREM
• BINOMIALS
• CONFIDENCE LIMITS
• ESTIMATES
• INTERVALS
• SIZES(DIMENSIONS)
• SOLUTIONS(GENERAL)
• POPULATION(MATHEMATICS)

Subject Categories:

• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE