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Mikkel Meyer Andersen commented on MATH-437: -------------------------------------------- Richard, Thanks for your knowledgeable comment. To quote you: {quote}"The argument x that you used in the Simard-L'écuyer program is not the same that you used for the other two programs."{quote} I'm not sure what you mean by that? Which argument should I then use to expect the same result? > Kolmogorov Smirnov Distribution > ------------------------------- > > Key: MATH-437 > URL: https://issues.apache.org/jira/browse/MATH-437 > Project: Commons Math > Issue Type: New Feature > Reporter: Mikkel Meyer Andersen > Assignee: Mikkel Meyer Andersen > Priority: Minor > Attachments: KolmogorovSmirnovDistribution.java > > Original Estimate: 0.25h > Remaining Estimate: 0.25h > > Kolmogorov-Smirnov test (see [1]) is used to test if one sample against a > known probability density functions or if two samples are from the same > distribution. To evaluate the test statistic, the Kolmogorov-Smirnov > distribution is used. Quite good asymptotics exist for the one-sided test, > but it's more difficult for the two-sided test. > [1]: http://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.