gov.sandia.cognition.statistics.method

Class WilcoxonSignedRankConfidence.Statistic

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.method.AbstractConfidenceStatistic

gov.sandia.cognition.statistics.method.WilcoxonSignedRankConfidence.Statistic

All Implemented Interfaces:

ConfidenceStatistic, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

WilcoxonSignedRankConfidence

public static class WilcoxonSignedRankConfidence.Statistic
extends AbstractConfidenceStatistic

ConfidenceStatistics associated with a Wilcoxon test

See Also:

Serialized Form

Field Summary

Fields inherited from class gov.sandia.cognition.statistics.method.AbstractConfidenceStatistic

nullHypothesisProbability

Constructor Summary

Constructors

Constructor and Description
Statistic(double T, int numNonZero) Creates a new instance of Statistic

Method Summary

Modifier and Type	Method and Description
protected static double	computeNullHypothesisProbability(double z) Computes the p-value given the z-value
protected static double	computeZ(double T, int numNonZero) Computes the z-value from the T-statistic and numNonZero value
int	getNumNonZero() Getter fir numNonZero
double	getT() Getter for T
double	getTestStatistic() Gets the statistic from which we compute the null-hypothesis probability.
double	getZ() Getter for z
protected void	setNumNonZero(int numNonZero) Setter for numNonZero
protected void	setT(double T) Getter for T
protected void	setZ(double z) Setter for z

Methods inherited from class gov.sandia.cognition.statistics.method.AbstractConfidenceStatistic

getNullHypothesisProbability, setNullHypothesisProbability, toString

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Constructor Detail

Statistic

public Statistic(double T,
                 int numNonZero)

Creates a new instance of Statistic

Parameters:

T - Wilcoxon T statistic, minimum sign-rank sum

numNonZero - Number of nonzero differences in the data

Method Detail

computeZ

protected static double computeZ(double T,
                                 int numNonZero)

Computes the z-value from the T-statistic and numNonZero value

Parameters:

T - Wilcoxon T statistic, minimum sign-rank sum

numNonZero - Number of nonzero differences in the data

Returns:

Z-statistic for the Gaussian CDF

computeNullHypothesisProbability

protected static double computeNullHypothesisProbability(double z)

Computes the p-value given the z-value

Parameters:

z - Z-statistic for the Gaussian CDF

Returns:

p-value for this Wilcoxon Test

getT

public double getT()

Getter for T

Returns:

Wilcoxon T statistic, minimum sign-rank sum

setT

protected void setT(double T)

Getter for T

Parameters:

T - Wilcoxon T statistic, minimum sign-rank sum

getNumNonZero

public int getNumNonZero()

Getter fir numNonZero

Returns:

Number of nonzero differences in the data

setNumNonZero

protected void setNumNonZero(int numNonZero)

Setter for numNonZero

Parameters:

numNonZero - Number of nonzero differences in the data

getZ

public double getZ()

Getter for z

Returns:

Z-statistic for the Gaussian CDF

setZ

protected void setZ(double z)

Setter for z

Parameters:

z - Z-statistic for the Gaussian CDF

getTestStatistic

public double getTestStatistic()

Description copied from interface: ConfidenceStatistic

Gets the statistic from which we compute the null-hypothesis probability. In an ANOVA, this would be the "F" statistic. In a t-test, this would be the "t" value. And so forth.

Returns:

Confidence statistic used to compute the null-hypothesis probability.