
Accession Number : ADA112947
Title : A Bayes Procedure for Selecting the Population with the Largest pth Quantile.
Descriptive Note : Technical rept.,
Corporate Author : CLEMSON UNIV SC DEPT OF MATHEMATICAL SCIENCES
Personal Author(s) : Alam,Khursheed
PDF Url : ADA112947
Report Date : Jul 1981
Pagination or Media Count : 16
Abstract : The Bayesian approach has not been very fruitful in treating nonparametric statistical problems, due to the difficulty in finding mathematically tractable prior distributions on a set of probability measures. The theory of the Dirichlet process has been developed recently. The process generates randomly a family of probability distributions which can be taken as a family of prior distributions for the Bayesian analysis of some nonparametric statistical problems. This paper deals with the problem of selection a distribution with the largest pth quantile value, from k or = 2 given distributions. It is assumed a priori that the given distributions have been generated from a Dirichlet process.
Descriptors : *Bayes theorem, *Nonparametric statistics, Dirichlet integral, Probability distribution functions, Ranking, Selection
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE