Kolmogorov-Smirnov Test (KS Test) in Python
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In statistics, the Kolmogorov–Smirnov test
In statistics, the Kolmogorov–Smirnov test (K–S test or KS test) is a nonparametric test of the equality of continuous one-dimensional probability distributions that can be used to compare a sample with a reference probability distribution (one-sample K–S test), or to compare two samples (two-sample K–S test).
The Kolmogorov–Smirnov statistic quantifies a distance between the empirical distribution function of the sample and the cumulative distribution function of the reference distribution, or between the empirical distribution functions of two samples.
I compared T-test and KS test, explained when we should use KS test, then demonstrated how to use KS test in Python.
You are welcome to provide your comments and subscribe to my YouTube channel.
The Python code is uploaded into https://github.com/AIMLModeling/Kolmo...
The Kolmogorov–Smirnov statistic quantifies a distance between the empirical distribution function of the sample and the cumulative distribution function of the reference distribution, or between the empirical distribution functions of two samples.
I compared T-test and KS test, explained when we should use KS test, then demonstrated how to use KS test in Python.
You are welcome to provide your comments and subscribe to my YouTube channel.
The Python code is uploaded into https://github.com/AIMLModeling/Kolmo...
3 سال پیش
در تاریخ 1400/08/23 منتشر شده
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