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https://issues.apache.org/jira/browse/MATH-160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12518443
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Luc Maisonobe commented on MATH-160:
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If we create a new interface (say TwoSamplesChiSquareTest), we need to add a
createTwoSamplesChiSquareTest method in TestFactory, this would also be an
incompatible API change (regardless of the fact TwoSamplesChiSquareTest extends
or not ChiSquareTest).
I don't see how to solve this problem in an API compatible way.
> 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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