A Bayes Sequential Procedure for Selecting the Most Probable Multinomial Event.

Abstract

This paper deals with a Bayes sequential sampling procedure for selecting the most probable event from a multinomial distribution whose parameters are distributed a priori according to a Dirichlet distribution. The given rule is compared with other sampling rules which have been considered in the literature. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1978
Accession Number
ADA069455

Entities

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  • James T. Ramey Jr.
  • Khursheed Alam

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  • Clemson University

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  • Human Systems

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  • Mathematics

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