hep.aida.util.comparison
Class KolmogorovSmirnovComparisonAlgorithm

java.lang.Object
  hep.aida.util.comparison.AbstractComparisonAlgorithm
      hep.aida.util.comparison.KolmogorovSmirnovComparisonAlgorithm

All Implemented Interfaces:

IComparisonAlgorithm

Direct Known Subclasses:

GoodmanComparisonAlgorithm

public class KolmogorovSmirnovComparisonAlgorithm

extends AbstractComparisonAlgorithm

Author:

The FreeHEP team @ SLAC. Algorithm taken from http://www.ge.infn.it/geant4/analysis/HEPstatistics/

Source Code:

KolmogorovSmirnovComparisonAlgorithm.java

Field Summary

Fields inherited from class hep.aida.util.comparison.AbstractComparisonAlgorithm

ANY_DATA, ANY_NUMBER_OF_EVENTS, ONLY_BINNED_DATA, ONLY_SAME_NUMBER_OF_EVENTS, ONLY_UNBINNED_DATA

Constructor Summary

KolmogorovSmirnovComparisonAlgorithm()

Method Summary

String[]	algorithmNames() Get the algorithm name
protected double	evaluateDistance(IComparisonData d1, IComparisonData d2)
protected double	probability(double distance)
double	quality(IComparisonData d1, IComparisonData d2)

Methods inherited from class hep.aida.util.comparison.AbstractComparisonAlgorithm

applyOptions, canCompare, compare, entries, getCumulativeArray, isOptionSet, matchLowerBound, matchUpperBound, nDof, optionValue, rejectionLevel, setRejectionLevel, sumOfWeights

Methods inherited from class java.lang.Object

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

Constructor Detail

KolmogorovSmirnovComparisonAlgorithm

public KolmogorovSmirnovComparisonAlgorithm()

Method Detail

algorithmNames

public String[] algorithmNames()

Description copied from interface: IComparisonAlgorithm

Get the algorithm name

Specified by:

algorithmNames in interface IComparisonAlgorithm

Specified by:

algorithmNames in class AbstractComparisonAlgorithm

quality

public double quality(IComparisonData d1,
                      IComparisonData d2)

Specified by:

quality in class AbstractComparisonAlgorithm

evaluateDistance

protected double evaluateDistance(IComparisonData d1,
                                  IComparisonData d2)

probability

protected double probability(double distance)