Test distribution fitting using KolmogorovΒΆ

In this example we are going to perform a Kolmogorov goodness-of-fit test for an 1-d continuous distribution.

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from __future__ import print_function
import openturns as ot
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# Create data
distribution = ot.Normal()
sample = distribution.getSample(50)
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# Estimate the Spearman correlation
result = ot.FittingTest.Kolmogorov(sample, ot.NormalFactory(), 0.99)
print('Conclusion=', result.getBinaryQualityMeasure(), 'P-value=', result.getPValue())
Conclusion= True P-value= 0.5902455836497116
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