Editing Kolmogorov–Smirnov test (section)

==External links==
*{{springer|title=Kolmogorov–Smirnov test|id=p/k055740}}
*[https://web.archive.org/web/20050710021649/http://www.physics.csbsju.edu/stats/KS-test.html Short introduction] 
*[http://www.itl.nist.gov/div898/handbook/eda/section3/eda35g.htm KS test explanation]
*[http://www.ciphersbyritter.com/JAVASCRP/NORMCHIK.HTM JavaScript implementation of one- and two-sided tests]
*[http://jumk.de/statistic-calculator/ Online calculator with the KS test]
* Open-source C++ code to compute the [https://web.archive.org/web/20171204072150/http://root.cern.ch/root/html/TMath.html#TMath:KolmogorovProb Kolmogorov distribution] and perform the [https://web.archive.org/web/20171204072150/http://root.cern.ch/root/html/TMath.html#TMath:KolmogorovTest KS test]
*Paper on [http://www.jstatsoft.org/v08/i18/paper Evaluating Kolmogorov's Distribution]; contains C implementation. This is the method used in [[Matlab]].
*Paper on [http://www.jstatsoft.org/v39/i11/paper Computing the Two-Sided Kolmogorov–Smirnov Distribution]; computing the cdf of the KS statistic in C or Java.
*Paper [http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0085777 powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions]; Jeff Alstott, Ed Bullmore, Dietmar Plenz. Among others, it also performs the Kolmogorov–Smirnov test. Source code and installers of powerlaw package are available at [https://pypi.python.org/pypi/powerlaw PyPi].
{{Statistics}}
{{Use dmy dates|date=February 2020}}

{{DEFAULTSORT:Kolmogorov-Smirnov Test}}
[[Category:Statistical distance]]
[[Category:Nonparametric statistics]]
[[Category:Normality tests]]