A bayes sequential procesure for selecting the most probable multinomial event

DOI10.1080/03610928008827877zbMath0448.62016OpenAlexW2091878640MaRDI QIDQ3894770

James Tompkins Ramey, Jr., Khursheed Alam

Publication date: 1980

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928008827877

zbMATH Keywords

multinomial distributionDirichlet distributionBayes sequential sampling procedure

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Sequential statistical methods (62L99) Statistical ranking and selection procedures (62F07)

Related Items

Single-sample Bayes and empirical Bayes rules for ranking and estimating multinomial probabilities, Closed inverse sampling procedure for selecting the largest multinomial cell probability, Truncated selection procedures for the most probable event and the least probable event, Closed sequential procedures for selecting the multinomial events which have the largest probabilities

Cites Work

• On selecting a subset containing the best population - a Bayesian approach
• A Single-Sample Multiple-Decision Procedure for Selecting the Multinomial Event Which Has the Highest Probability
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