Accession Number:

ADA162867

Title:

Empirical Bayes Rules for Selecting Good Binomial Populations. Revision.

Descriptive Note:

Technical rept.,

Corporate Author:

PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS

Personal Author(s):

Report Date:

1985-10-01

Pagination or Media Count:

24.0

Abstract:

This paper deals with the problem of selecting good binomial populations compared with a standard or a control through the empirical Bayes approach. Two cases have been studied one with the pior distribution completely unknown and the other with the prior distribution symmetrical about p 12, but otherwise unknown. In each case, empirical Bayes rules are derived and their rates of convergence are shown to be of order Oexp-cn for some cO, where n is the number of accumulated post experiences at hand. Keywords Statistical decision theory SmoothingMathematics Asymptotically optimal. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE