[MATH-160] Chi-Square Test for Comparing two binned Data Sets

• Type: New Feature
• Status: Closed
• Priority: Minor
• Resolution: Fixed
• Fix Version/s: 1.2
• Assignee: Unassigned
• Reporter: Matthias Hummel
• Created: 16/Oct/06 15:38
• Updated: 23/Apr/09 02:26
• Resolved: 17/Nov/07 19:39

Description

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.