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Kolmogorov-Smirnov test

Creator
Creator
Seonglae Cho
Created
Created
2025 Mar 5 21:24
Editor
Editor
Seonglae Cho
Edited
Edited
2025 Mar 13 17:26
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KS statistics

Measures the maximum distance between the CDFs of two probability distributions
 
 
 
 
 
Kolmogorov–Smirnov test
In statistics, the Kolmogorov–Smirnov test is a nonparametric test of the equality of continuous, one-dimensional probability distributions. It can be used to test whether a sample came from a given reference probability distribution, or to test whether two samples came from the same distribution. Intuitively, it provides a method to qualitatively answer the question "How likely is it that we would see a collection of samples like this if they were drawn from that probability distribution?" or, in the second case, "How likely is it that we would see two sets of samples like this if they were drawn from the same probability distribution?". It is named after Andrey Kolmogorov and Nikolai Smirnov.
Kolmogorov–Smirnov test
https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test
Kolmogorov–Smirnov test
 
 

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Kolmogorov-Smirnov test
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