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The idea is to implement the KS test where we pass a sample and a distribution object, to validate if it belongs or not.
Something like this:
distribution=Distribution::StandardNormal.newsamples=distribution.random(elements: 1_000,seed: 100)# This should return null hypothesis as true,# so we assume that the sample belongs to the specified distribution.StatisticalTest::KSTest.one_group(samples: samples,distribution: distribution)
The text was updated successfully, but these errors were encountered:
The idea is to implement the KS test where we pass a sample and a distribution object, to validate if it belongs or not.
Something like this:
The text was updated successfully, but these errors were encountered: