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https://issues.apache.org/jira/browse/MATH-160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12503276
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Phil Steitz commented on MATH-160:
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With the reference in the last comment replacing the reference in the patch,
this looks OK to me. We also need test cases, ideally validated against R,
another package or published results somewhere. Patches welcome!
> 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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