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From "Mikkel Meyer Andersen (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MATH-437) Kolmogorov Smirnov Distribution
Date Wed, 17 Nov 2010 21:03:14 GMT

    [ https://issues.apache.org/jira/browse/MATH-437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12933161#action_12933161
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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

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