com.numericalmethod.suanshu.stats.test.distribution.kolmogorov

Class KolmogorovSmirnov2Samples

java.lang.Object

com.numericalmethod.suanshu.stats.test.HypothesisTest

com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov

com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov2Samples

All Implemented Interfaces:

java.io.Serializable

public class KolmogorovSmirnov2Samples
extends KolmogorovSmirnov

The two-sample Kolmogorov–Smirnov test tests for the equality of the distributions of two samples (two-sample KS test).

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov

KolmogorovSmirnov.Side, KolmogorovSmirnov.Type

Field Summary

Fields inherited from class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov

side, type

Fields inherited from class com.numericalmethod.suanshu.stats.test.HypothesisTest

k, N, pValue, testStatistics

Constructor Summary

Constructors

Constructor and Description
KolmogorovSmirnov2Samples(double[] sample1, double[] sample2, KolmogorovSmirnov.Side side) Construct a two-sample Kolmogorov-Smirnov test.

Method Summary

Methods inherited from class com.numericalmethod.suanshu.stats.test.distribution.kolmogorov.KolmogorovSmirnov

getAlternativeHypothesis, getNullHypothesis

Methods inherited from class com.numericalmethod.suanshu.stats.test.HypothesisTest

isNullRejected, oneSidedPvalue, pValue, statistics

Methods inherited from class java.lang.Object

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

Constructor Detail

KolmogorovSmirnov2Samples

public KolmogorovSmirnov2Samples(double[] sample1,
                                 double[] sample2,
                                 KolmogorovSmirnov.Side side)

Construct a two-sample Kolmogorov-Smirnov test.

Parameters:

sample1 - a sample

sample2 - another sample

side - specifying two-sided, one-sided

See Also:

"Jean Dickinson Gibbons, Subhabrata Chakraborti. "Nonparametric Statistical Inference", 4th edition. Section 6.3."