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A Distribution-Free Test for Related Correlation Coefficients

 

作者: DouglasA. Wolfe,  

 

期刊: Technometrics  (Taylor Available online 1977)
卷期: Volume 19, issue 4  

页码: 507-509

 

ISSN:0040-1706

 

年代: 1977

 

DOI:10.1080/00401706.1977.10489593

 

出版商: Taylor & Francis Group

 

关键词: Related correlation coefficients;Nonparametric;Distribution-free test;Best linear predictor

 

数据来源: Taylor

 

摘要:

Let (X1,X2,Xs) be a continuous, trivariate random vector for which it is of interest to compare the correlation betweenX1andX2with that betweenX3andX1. This problem is important, for example when bothX2andX3are potential linear predictors forX1or, more generally, whenever the variable (X1.X2,X3) represents a triplet of measurements on the same individual and correlation comparisons are desired. In this note it is shown that an exact distribution-free test for such problems can he based on a single Kendall correlation coellicient.

 

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