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A Bayesian Approach to Some Multinomial Estimation and Pretesting Problems

 

作者: Tom Leonard,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1977)
卷期: Volume 72, issue 360  

页码: 869-874

 

ISSN:0162-1459

 

年代: 1977

 

DOI:10.1080/01621459.1977.10479974

 

出版商: Taylor & Francis Group

 

关键词: Bayesian estimation;Multinomial probabilities;Dirichlet distributions;Chi-squared statistic;Preliminary test of significance

 

数据来源: Taylor

 

摘要:

New Bayesian estimates are proposed for multinomial probabilities, when the prior distribution is a mixture of Dirichlet distributions. They are based upon a distributional approximation for the χ2statistic and may be contrasted with the frequentist approximations recommended by other authors. An alternative is also suggested to the χ2goodness-of-fit test, when it is employed as a preliminary test of significance. The new procedure possesses remarkably different properties; it is used to reanalyze some data from Mendel's pea breeding experiment. The results suggest that the χ2test may have no particular relevance in preliminary testing situations.

 

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