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Likelihood Ratio Test for DiscriminaGon Between Two Models with Unknown Location and Scale Parameters

 

作者: Robert Dumonceaux,   CharlesE. Antle,   Gerald Haas,  

 

期刊: Technometrics  （Taylor Available online 1973）
卷期: Volume 15, issue 1  

页码: 19-27

 

ISSN:0040-1706

 

年代: 1973

 

DOI:10.1080/00401706.1973.10489007

 

出版商: Taylor & Francis Group

 

关键词: Likelihood Ratio Test;Model Discrimination;Nuisance Parameter

 

数据来源: Taylor

 

摘要:

The problem of selecting a model from two models with unknown location and scale parameters is considered. It is noted that the distribution of the ratio of maximum likelihoods does not depend upon the values of the nuisance location and scale parameters. Consequently, this ratio provides a convenient (and hopefully powerful) test for discriminating between two location and scale parameter models when the parameters are unknown.

 

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