Single-sample Bayes and empirical Bayes rules for ranking and estimating multinomial probabilities

DOI10.1016/0378-3758(93)90023-YzbMath0777.62009OpenAlexW1970684917MaRDI QIDQ2366578

Shanti S. Gupta, Sayaji N. Hande

Publication date: 30 August 1993

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(93)90023-y

zbMATH Keywords

cell probabilitiesasymptotically optimalBayes rulesgeneral class of loss functionsgeneral ranking problemparametric empirical Bayes selection rulespartitioning \(k\) multinomial cellssimultaneous selection and estimation

Mathematics Subject Classification ID

Bayesian inference (62F15) Statistical ranking and selection procedures (62F07) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (2)

Estimation after sequential selection and ranking ⋮ Estimating probability of occurrence of the most likely multinomial event

Cites Work

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• The Empirical Bayes Approach to Statistical Decision Problems
• A Single-Sample Multiple-Decision Procedure for Selecting the Multinomial Event Which Has the Highest Probability
• On Selecting the Most Probable Category

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