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https://issues.apache.org/jira/browse/MATH-814?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Neidhart updated MATH-814:
---------------------------------

    Affects Version/s:     (was: 4.0)
                       3.2

> Kendalls Tau Implementation
> ---------------------------
>
>                 Key: MATH-814
>                 URL: https://issues.apache.org/jira/browse/MATH-814
>             Project: Commons Math
>          Issue Type: New Feature
>    Affects Versions: 3.2
>         Environment: All
>            Reporter: devl
>            Assignee: Phil Steitz
>              Labels: correlation, rank
>             Fix For: 4.0
>
>         Attachments: kendalls-tau.patch
>
>   Original Estimate: 840h
>  Remaining Estimate: 840h
>
> Implement the Kendall's Tau which is a measure of Association/Correlation 
> between ranked ordinal data.
> A basic description is available at 
> http://en.wikipedia.org/wiki/Kendall_tau_rank_correlation_coefficient however 
> the test implementation will follow that defined by "Handbook of Parametric 
> and Nonparametric Statistical Procedures, Fifth Edition, Page 1393 Test 30, 
> ISBN-10: 1439858012 | ISBN-13: 978-1439858011."
> The algorithm is proposed as follows. 
> Given two rankings or permutations represented by a 2D matrix; columns 
> indicate rankings (e.g. by an individual) and row are observations of each 
> rank. The algorithm is to calculate the total number of concordant pairs of 
> ranks (between columns), discordant pairs of ranks  (between columns) and 
> calculate the Tau defined as
> tau= (Number of concordant - number of discordant)/(n(n-1)/2)
>  where n(n-1)/2 is the total number of possible pairs of ranks.
> The method will then output the tau value between -1 and 1 where 1 signifies 
> a "perfect" correlation between the two ranked lists. 
> Where ties exist within a ranking it is marked as neither concordant nor 
> discordant in the calculation. An optional merge sort can be used to speed up 
> the implementation. Details are in the wiki page.
> Although this implementation is not particularly complex it would be useful 
> to have it in a consistent format in the commons math package in addition to 
> existing correlation tests. Kendall's Tau is used effectively in comparing 
> ranks for products, rankings from search engines or measurements from 
> engineering equipment.



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