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https://issues.apache.org/jira/browse/MATH-1179?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14523013#comment-14523013
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Thomas Neidhart commented on MATH-1179:
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Regarding the inaccurate result for the approximateP method: this is due to the
ksSum method whose series expansion does not work well for d values < 1. Using
the pelzGood method in this case improves the result a lot.
Regarding the slowness: I think it would be better to adapt the logic to decide
which method is used in the kolmogorovSmirnovTest. As explained above, for
sizes < 10000 the monte carlo method is used, but it seems to be too slow for
such large arrays. Either we reduce this number considerably, or even drop the
monte carlo method completely from there. A user can still call it explicitly
if needed/wanted. If we can improve the accuracy of the approximateP method,
this should be good enough imho?
> kolmogorovSmirnovTest poor performance in monteCarloP method
> ------------------------------------------------------------
>
> Key: MATH-1179
> URL: https://issues.apache.org/jira/browse/MATH-1179
> Project: Commons Math
> Issue Type: Bug
> Reporter: Gilad
> Fix For: 4.0
>
> Attachments: KSTest-JavaAndR.txt, KSTestSnippet.txt
>
>
> I'm using the kolmogovSmirnovTest method to calculate pvalues.
> However, when i try running the test on two double[] of sizes 5 and 45 the
> results take over 10 seconds to calculate.
> This seems very long, whereas in R it takes a few miliseconds for the same
> calculation.
> I'd be very happy to hear any comment you may have on the subject.
> Gilad
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