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On the Asymptotic Efficiency of the Kolmogorov-Smirnov Test

 

作者: Jack Capon,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1965)
卷期: Volume 60, issue 311  

页码: 843-853

 

ISSN:0162-1459

 

年代: 1965

 

DOI:10.1080/01621459.1965.10480832

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The Kolmogorov-Smirnov test is important in nonparametric statistical inference. The limiting distribution of the Kolmogorov-Smirnov statistic under the null hypothesis is well known and has been derived by several different methods. The limiting distribution of this statistic under the alternative hypothesis is unknown so that it is not possible, in general, to compute the power of the Kolmogorov-Smirnov test.

 

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