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https://issues.apache.org/jira/browse/MATH-160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12541911
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Luc Maisonobe commented on MATH-160:
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The UnknownDistributionChiSquareTest interface extending ChiSquareTest was
created at the beginning of September. The ChiSquareTestImpl classes implements
this extending interface. There have been no complaints about this since then.
Could we consider this issue is solved ?
> Chi-Square Test for Comparing two binned Data Sets
> --------------------------------------------------
>
> Key: MATH-160
> URL: https://issues.apache.org/jira/browse/MATH-160
> Project: Commons Math
> Issue Type: New Feature
> Reporter: Matthias Hummel
> Priority: Minor
> Fix For: 1.2
>
> Attachments: commons-math.patch
>
>
> Current Chi-Square test implementation only supports standard Chi-Square
> testing with respect to known distribution. We needed testing for comparison
> of two sample data sets where the distribution can be unknown. For this case
> the Chi-Square test has to be computed in a different way so that both error
> contributions (one for each sample data set) are taken into account. See
> Press et. al, Numerical Recipes, Second Edition, formula 14.3.2.
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