Package jline.api.measures

Class Ms_kuiperKt

  • All Implemented Interfaces:
    
public final class Ms_kuiperKt

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    • Field Summary

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    • Constructor Summary

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    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description

    • Method Summary

      Modifier and Type Method Description
      final static Double ms_kuiper(Matrix XX, Matrix YY) Kuiper distance between two empirical distributions.

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

    • Method Detail

      • ms_kuiper

         final static Double ms_kuiper(Matrix XX, Matrix YY)

        Kuiper distance between two empirical distributions. Computes the sum of the maximum positive and negative deviations between empirical CDFs. This is a rotation-invariant variant of the Kolmogorov-Smirnov test.

        Parameters:
        XX - first sample matrix (if 2D, each column is a sample)
        YY - second sample matrix (if 2D, each column is a sample)
        Returns:

        Kuiper distance