Nonparametric testing of distributions—the Epps–Singleton two-sample test using the empirical characteristic function

In statistics, two-sample tests are used to determine whether two samples have been drawn from the same population. An example of such a test is the widely used Kolmogorov–Smirnov two-sample test. There are other distributionfree tests that might be applied in similar occasions. In this article, we describe a two-sample omnibus test introduced by Epps and Singleton, which usually has a greater power than the Kolmogorov–Smirnov test although it is distribution free. The superiority of the Epps–Singleton characteristic function test is illustrated in two examples. We compare the two tests and supplement this contribution with a Stata implementation of the omnibus test.


Issue Date:
2009
Publication Type:
Journal Article
DOI and Other Identifiers:
st0174 (Other)
PURL Identifier:
http://purl.umn.edu/143002
Published in:
Stata Journal, Volume 09, Number 3
Page range:
454-465
Total Pages:
12

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 Record created 2017-04-01, last modified 2017-08-26

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