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From "Luc Maisonobe (JIRA)" <>
Subject [jira] Commented: (MATH-160) Chi-Square Test for Comparing two binned Data Sets
Date Mon, 16 Oct 2006 17:29:38 GMT
    [ ] 
Luc Maisonobe commented on MATH-160:

I'm affraid code from any of the Numerical Recipes book cannot be included in commons-math.
See the redistribution conditions in the NR site here:
If the code is a well known algorithm with public references independant from NR, then it
is OK. But the comments in your patch directly references the NR book in C++.
Of course, this only my point of view, could anybody else give an advice on this topic ?

> Chi-Square Test for Comparing two binned Data Sets
> --------------------------------------------------
>                 Key: MATH-160
>                 URL:
>             Project: Commons Math
>          Issue Type: New Feature
>            Reporter: Matthias Hummel
>            Priority: Minor
>         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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