javanpst.distributions.tests

Class KendallDistribution

java.lang.Object

javanpst.distributions.tests.KendallDistribution

public class KendallDistribution
extends java.lang.Object

An implementation of the Kendall distribution. Uses a Singleton pattern to ensure only an instance of the class is allowed.

Method Summary

Modifier and Type	Method and Description
double	computeApproximatedProbability(int n, double T) Computes approximated probability of the exact Kendall distribution
double	computeAsymptoticProbability(double Z, boolean dependence) Computes asymptotic probability of the Kendall distribution
double	computeExactProbability(int n, double T) Computes exact probability of the Kendall distribution
static Critical1KeyTable	getCriticalTable() Gets the table of critical values of the distribution
static Aproximate1KeyTable	getExactTable() Gets the table of the distribution
static KendallDistribution	getInstance() Singleton pattern access to the distribution

Methods inherited from class java.lang.Object

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

Method Detail

getInstance

public static KendallDistribution getInstance()

Singleton pattern access to the distribution

Returns:

the instance of the distribution

getCriticalTable

public static Critical1KeyTable getCriticalTable()

Gets the table of critical values of the distribution

Returns:

Reference to the table

getExactTable

public static Aproximate1KeyTable getExactTable()

Gets the table of the distribution

Returns:

Reference to the table

computeExactProbability

public double computeExactProbability(int n,
                                      double T)

Computes exact probability of the Kendall distribution

Parameters:

n - number of pairs

T - Kendall statistic

Returns:

p-value computed

computeApproximatedProbability

public double computeApproximatedProbability(int n,
                                             double T)

Computes approximated probability of the exact Kendall distribution

Parameters:

n - number of pairs

T - Kendall statistic

Returns:

p-value computed

computeAsymptoticProbability

public double computeAsymptoticProbability(double Z,
                                           boolean dependence)

Computes asymptotic probability of the Kendall distribution

Parameters:

Z - normal approximation

dependence - true if testing positive dependence. False, if negative

Returns:

p-value computed