Single-sample Bayes and empirical Bayes rules for ranking and estimating multinomial probabilities
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Reference22 articles.
1. On selecting the most probable category;Alam;Technometrics,1971
2. A sequential sampling rule for selecting the most probable multinomial event;Alam;Ann. Inst. Stat. Math.,1971
3. Closed sequential procedure for selecting the multinomial events which have the largest probabilities;Bechhofer;Comm. Stat. A — Theor. Meth.,1984
4. A single-sample multiple-decision procedure for selecting the multinomial event which has the highest probability;Bechhofer;Ann. Math. Statist.,1959
5. An inverse sampling procedure for selecting the most probable event in a multinomial distribution;Cacoullos,1966
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Shanti Swarup Gupta: His life (1925–2002) and work;Journal of Statistical Planning and Inference;2006-07
2. Estimating probability of occurrence of the most likely multinomial event;Journal of Statistical Planning and Inference;1997-04
3. Estimation after sequential selection and ranking;Metrika;1997-01
4. Bayesian Inference for the Best Ordinal Multinomial Population in a Taste Test;Case Studies in Bayesian Statistics;1997
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