javanpst.distributions.tests

Class LillieforsDistribution

java.lang.Object

javanpst.distributions.tests.LillieforsDistribution

public class LillieforsDistribution
extends java.lang.Object

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

Method Summary

Modifier and Type	Method and Description
double	computeProbabilityExponential(int n, double Dn) Computes p-value of the Lilliefors distribution (adjust to a normal distribution).
double	computeProbabilityNormal(int n, double Dn) Computes p-value of the Lilliefors distribution (adjust to a normal distribution).
static Critical1KeyTable	getExponentialTable() Gets the table of the distribution (exponential)
static LillieforsDistribution	getInstance() Singleton pattern access to the distribution
static Critical1KeyTable	getNormalTable() Gets the table of the distribution (normal)
boolean	isApproximate() Tests if the last estimation was approximate

Methods inherited from class java.lang.Object

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

Method Detail

getInstance

public static LillieforsDistribution getInstance()

Singleton pattern access to the distribution

Returns:

the instance of the distribution

getNormalTable

public static Critical1KeyTable getNormalTable()

Gets the table of the distribution (normal)

Returns:

Reference to the table

getExponentialTable

public static Critical1KeyTable getExponentialTable()

Gets the table of the distribution (exponential)

Returns:

Reference to the table

computeProbabilityNormal

public double computeProbabilityNormal(int n,
                                       double Dn)

Computes p-value of the Lilliefors distribution (adjust to a normal distribution).

Parameters:

n - size of the population

Dn - Lilliefors statistic

Returns:

p-value computed

computeProbabilityExponential

public double computeProbabilityExponential(int n,
                                            double Dn)

Computes p-value of the Lilliefors distribution (adjust to a normal distribution).

Parameters:

n - size of the population

Dn - Lilliefors statistic

Returns:

p-value computed

isApproximate

public boolean isApproximate()

Tests if the last estimation was approximate

Returns:

true if the last estimation was approximate. False, otherwise