[ http://issues.apache.org/jira/browse/MATH-160?page=comments#action_12445327 ] aeriform commented on MATH-160: -------------------------------
Not sure if this would be good enough as I am not sure entirely what you need, but there is a reference to the normalized chi-squared in the following article on Issue 45 of Cytometry page 48: http://www3.interscience.wiley.com/cgi-bin/fulltext/85011154/PDFSTART Cytometry ISSN: 1097-0320 (Online) ISSN: 0196-4763 (Print) Published 2001 Wiley-Liss, Inc.† Cytometry 45:47-55 (2001) Probability Binning Comparison: A Metric for Quantitating Multivariate Distribution Differences "This work is a US government work, and as such, is in the public domain in the United States of America." (pg. 47) Is a reference like this sufficient to develop code from? > Chi-Square Test for Comparing two binned Data Sets > -------------------------------------------------- > > Key: MATH-160 > URL: http://issues.apache.org/jira/browse/MATH-160 > 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. -- This message is automatically generated by JIRA. - If you think it was sent incorrectly contact one of the administrators: http://issues.apache.org/jira/secure/Administrators.jspa - For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
