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Rank Transformations as a Bridge between Parametric and Nonparametric Statistics

 

作者: W.J. Conover,   RonaldL. Iman,  

 

期刊: The American Statistician  （Taylor Available online 1981）
卷期: Volume 35, issue 3  

页码: 124-129

 

ISSN:0003-1305

 

年代: 1981

 

DOI:10.1080/00031305.1981.10479327

 

出版商: Taylor & Francis Group

 

关键词: Nonparametric;Rank transformation;Regression;Experimental designs;Discriminant analysis;Discriminant analysis

 

数据来源: Taylor

 

摘要:

Many of the more useful and powerful nonparametric procedures may be presented in a unified manner by treating them as rank transformation procedures. Rank transformation procedures are ones in which the usual parametric procedure is applied to the ranks of the data instead of to the data themselves. This technique should be viewed as a useful tool for developing nonparametric procedures to solve new problems.

 

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