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java.lang.Object gov.sandia.cognition.util.AbstractCloneableSerializable gov.sandia.cognition.statistics.method.MannWhitneyUConfidence
@ConfidenceTestAssumptions(name="MannWhitney Utest", alsoKnownAs={"MannWhitneyWolcoxon","Wilcoxon ranksum test","WilcoxonMannWhitney test","Utest"}, description="A nonparameteric test to determine is two groups of data were drawn from the same underlying distribution.", assumptions={"The groups were sampled independently.","The data are orginal and we can determine which of two samples is greater than the other.","Although the two populations don\'t have to follow any particular distribution, the two distributions must have a similar shape."}, nullHypothesis="The data were drawn from the same distribution.", dataPaired=false, dataSameSize=false, distribution=UnivariateGaussian.CDF.class, reference=@PublicationReference(author="Wikipedia",title="MannWhitney U",type=WebPage,year=2009,url="http://en.wikipedia.org/wiki/MannWhitney_U")) public class MannWhitneyUConfidence
Performs a MannWhitney Utest on the given data (usually simply called a "Utest", sometimes called a WilcoxonMannWhitney Utest, or Wilcoxon ranksum test).
Nested Class Summary  

static class 
MannWhitneyUConfidence.Statistic
Statistics from the MannWhitney Utest 
Constructor Summary  

MannWhitneyUConfidence()
Creates a new instance of MannWhitneyUConfidence 
Method Summary  

MannWhitneyUConfidence.Statistic 
evaluateNullHypothesis(Collection<? extends InputOutputPair<? extends Number,Boolean>> scoreClassPairs)
Performs a Utest on the scoreclass pairs. 
MannWhitneyUConfidence.Statistic 
evaluateNullHypothesis(Collection<? extends Number> data1,
Collection<? extends Number> data2)
Computes the probability that two data were generated by the same distribution. 
Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable 

clone 
Methods inherited from class java.lang.Object 

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait 
Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable 

clone 
Constructor Detail 

public MannWhitneyUConfidence()
Method Detail 

public MannWhitneyUConfidence.Statistic evaluateNullHypothesis(Collection<? extends InputOutputPair<? extends Number,Boolean>> scoreClassPairs)
scoreClassPairs
 Pairs of scores with the corresponding class "label" for the score
public MannWhitneyUConfidence.Statistic evaluateNullHypothesis(Collection<? extends Number> data1, Collection<? extends Number> data2)
NullHypothesisEvaluator
evaluateNullHypothesis
in interface NullHypothesisEvaluator<Collection<? extends Number>>
data1
 First dataset to considerdata2
 Second dataset to consider


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