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Powerful Modified-EDF Goodness-of-Fit Tests

 

作者: J.R. Green,   Y.A. S. Hegazy,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1976）
卷期: Volume 71, issue 353  

页码: 204-209

 

ISSN:0162-1459

 

年代: 1976

 

DOI:10.1080/01621459.1976.10481516

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Modified forms of the Kolmogorov-Smirnov, Cramér-von Mises and Anderson-Darling goodness-of-fit tests have been studied for the situation where parameters have to be estimated. Using Monte Carlo power studies, it is shown that some of the new tests effect improvements over other known tests.

 

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