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On Sample-Size Selection and the Evaluation of Discriminability in the Model Choice Problem

 

作者: Michael Goldstein,   David Collett,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1982）
卷期: Volume 77, issue 380  

页码: 922-928

 

ISSN:0162-1459

 

年代: 1982

 

DOI:10.1080/01621459.1982.10477908

 

出版商: Taylor & Francis Group

 

关键词: Bayesian inference;Discrimination;Binomial family;Von Mises distribution;Wrapped normal distribution

 

数据来源: Taylor

 

摘要:

In this article we present a general Bayesian approach to discrimination. We describe how the difference between two separate families of distributions can be assessed in terms of differences between two binomial models. Two examples that illustrate the methodology are included. Specifically, we investigate the extent to which it is possible to discriminate between the von Mises and the wrapped normal distributions and also between the normal and a family oftdistributions.

 

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