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Table of Percentage Points of Kolmogorov Statistics*

 

作者: LeslieH. Miller,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1956)
卷期: Volume 51, issue 273  

页码: 111-121

 

ISSN:0162-1459

 

年代: 1956

 

DOI:10.1080/01621459.1956.10501314

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

A simple method for testing the probability that a set of numbers is a sample from a known distribution consists of comparing the empirical cumulative distribution function of the sample,Sn(x), with the known cumulative distribution functionF(x). BothDn= maximum {Sn(x) –F{x)} andDn* = maximum |Sn(x) –F(x) | are random variables, independent of the special form ofF(x), ifF(x) is continuous. This paper contains more extensive tables of the percentage points in the distributions ofDnandDn* than have been published previously. These values are obtained by empirical modification of a known asymptotic formula.

 

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