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A monte carlo study of a Bayesian decision rulf concerning the number of oifferent values of a discrete random variable

 

作者: Bruno Betro,   Ryszard. Zielihski,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1987）
卷期: Volume 16, issue 4  

页码: 925-938

 

ISSN:0361-0918

 

年代: 1987

 

DOI:10.1080/03610918708812628

 

出版商: Marcel Dekker, Inc.

 

关键词: multinomial distribution;optimal decision;unknown number of classes;multiextremal optimization problems;simulation

 

数据来源: Taylor

 

摘要:

A Bayesian decision rule about the number of different values of a discrete randomvariable is numerically tested by Monte Carlo experiments. Results are exhibited showing the percentage of correct decisions as well as the robustness of the rule.

 

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