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A Class of Distribution-Free Two-Sample Tests Based on Placements

 

作者: John Orban,   DouglasA. Wolfe,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1982)
卷期: Volume 77, issue 379  

页码: 666-672

 

ISSN:0162-1459

 

年代: 1982

 

DOI:10.1080/01621459.1982.10477870

 

出版商: Taylor & Francis Group

 

关键词: Distribution-free tests;Two-sample placements;Asymptotic optimality;Approximations to null distributions;One-sample limits

 

数据来源: Taylor

 

摘要:

We consider a class of two-sample distribution-free tests that are appropriate for situations where one of the sample sizes is large relative to the other. These procedures are based on the placements of the observations in the smaller sample among the ordered observations in the larger sample, and this class of tests generalizes the Mann-Whitney (1947) procedure in much the same way that the class of linear rank tests generalizes the equivalent Wilcoxon (1945) rank sum form. Optimality criteria for choosing a test from this class are discussed and limiting distributions for the associated class of test statistics are determined for the case where only one of the sample sizes goes to infinity.

 

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