Accession Number : ADA190766

Title :   On Two-Stage Allocation Procedures for Selection Problems.

Descriptive Note : Technical rept.,

Corporate Author : PURDUE UNIV LAFAYETTE IN DEPT OF STATISTICS

Personal Author(s) : Gupta, Shanti S ; Liang, TaChen

PDF Url : ADA190766

Report Date : 08 Dec 1987

Pagination or Media Count : 16

Abstract : This paper deals with the problem of deriving two-stage allocation procedures for selecting the best normal population. If the prior distribution is assumed to be known, an exact Bayes two-stage allocation procedure is obtained. If the prior distribution depends on some unknown parameter, an adaptive two-stage allocation procedure is proposed. Using the empirical Bayes formulation, we prove that the proposed adaptive two-stage allocation procedure has some asymptotic optimallity property.

Descriptors :   *ALLOCATIONS, *SELECTION, *NORMAL DISTRIBUTION, ADAPTIVE SYSTEMS, BAYES THEOREM, STAGING, POPULATION(MATHEMATICS)

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE