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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