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A Test of Exponentiality Based on the Bivariate F Distribution

 

作者: Chine-Chuong Lin,   GovindS. Mudholkar,  

 

期刊: Technometrics  (Taylor Available online 1980)
卷期: Volume 22, issue 1  

页码: 79-82

 

ISSN:0040-1706

 

年代: 1980

 

DOI:10.1080/00401706.1980.10486104

 

出版商: Taylor & Francis Group

 

关键词: Tests of exponentiality;Bivariate F distribution;Normalized spacings;Hazard rate function

 

数据来源: Taylor

 

摘要:

The tests based upon normalized sample spacings and analogous to the classical homogeneity of variances procedures are the simplest tests of exponentiality. Among these, Gnedenko's Q test (Gnedenko, Belyayev and Solovyev, 1969) is found to be superior against the monotone hazard rate alternative Weibull. In this note the normalized spacings are used in the same spirit but in conjunction with the bivariate F distribution to obtain a test of exponentiality which provides protection against a broad class of alternatives.

 

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