Kolmogorov-Smirnov (KS) Test
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How to find k-s test for non- normal distribution like uniform, beta,expon,Gamma, and log normal distributions.
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Torsten
2024 年 9 月 20 日
編集済み: Torsten
2024 年 9 月 20 日
From the documentation:
h = kstest(x,Name,Value) returns a test decision for the one-sample Kolmogorov-Smirnov test with additional options specified by one or more name-value pair arguments. For example, you can test for a distribution other than standard normal, change the significance level, or conduct a one-sided test.
testcdf = makedist('Normal');
x = normrnd(100,1);
%Test whether x stems from a normal distribution (result should be "true")
h = kstest(x,'CDF',testcdf)
testcdf = makedist('tlocationscale','mu',75,'sigma',10,'nu',1);
%Test whether x stems from a T Location-Scale distribution (result should be "false")
h = kstest(x,'CDF',testcdf)
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