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