edu.ucla.stat.SOCR.distributions
Class LomaxDistribution

java.lang.Object
  edu.ucla.stat.SOCR.core.SOCRValueSettable
      edu.ucla.stat.SOCR.core.Distribution
          edu.ucla.stat.SOCR.distributions.LomaxDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class LomaxDistribution
extends Distribution

This class models the Lomax distribution (Pareto-distribution of hte second-kind) with a specified parameters (alpha=shape1; gamma=shape2). http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/pa2pdf.htm.

Field Summary

Fields inherited from class edu.ucla.stat.SOCR.core.Distribution

applet, CONTINUOUS, DISCRETE, MAXMGFXVAL, MAXMGFYVAL, MINMGFXVAL, MIXED, name

Constructor Summary

LomaxDistribution()
The default constructor creates a new Lomax distribution with parameters (1, 1)

LomaxDistribution(double g)
The default constructor creates a new Lomax distribution with parameters (a=1, gamma)

LomaxDistribution(double a, double g)
This general constructor creates a new Lomax distribuiton with specified parameters, alpha and gamma

Method Summary

double	getCDF(double x) This method comptues the cumulative distribution function
double	getDensity(double x) This method computes the getDensity function
double	getMaxDensity() This method returns the maximum value of the getDensity function
double	getMean() This method computes the mean
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getParameter1()
double	getParameter2()
double[]	getParameters()
double	getVariance() This method computes the variance
void	initialize() used for some subclass to initialize before being used
void	setParameter(double a, double g) This method sets the parameter and computes the default interval
void	valueChanged()

Methods inherited from class edu.ucla.stat.SOCR.core.Distribution

addObserver, betaCDF, comb, factorial, findGFRoot, findRoot, gamma, gammaCDF, getDisplayPane, getDomain, getFailureRate, getGFDerivative, getGFSecondDerivative, getInstance, getLocalHelp, getMean, getMedian, getMGF, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, inverseCDF, logGamma, paramEstimate, perm, sampleMean, sampleVar, setApplet, setDomain, setDomain, setMGFDomain, setMGFDomain, setMGFParameters, setMGFParameters, setMGFParameters, setMGFParameters, setParameters, setPGFDomain, setPGFDomain, setPGFParameters, setPGFParameters, setPGFParameters, setPGFParameters, simulate, update, valueChanged

Methods inherited from class edu.ucla.stat.SOCR.core.SOCRValueSettable

createComponentSetter, createValueSetter, createValueSetter, createValueSetter, createValueSetter, getComponentSetter, getComponentSetters, getValueSetter, getValueSetters

Methods inherited from class java.lang.Object

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

Constructor Detail

LomaxDistribution

public LomaxDistribution(double a,
                         double g)

This general constructor creates a new Lomax distribuiton with specified parameters, alpha and gamma

LomaxDistribution

public LomaxDistribution(double g)

The default constructor creates a new Lomax distribution with parameters (a=1, gamma)

LomaxDistribution

public LomaxDistribution()

The default constructor creates a new Lomax distribution with parameters (1, 1)

Method Detail

initialize

public void initialize()

Description copied from class: Distribution

used for some subclass to initialize before being used

Overrides:

initialize in class Distribution

valueChanged

public void valueChanged()

Overrides:

valueChanged in class Distribution

setParameter

public void setParameter(double a,
                         double g)

This method sets the parameter and computes the default interval

getParameters

public double[] getParameters()

getParameter1

public double getParameter1()

getParameter2

public double getParameter2()

getDensity

public double getDensity(double x)

This method computes the getDensity function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

This method returns the maximum value of the getDensity function

Overrides:

getMaxDensity in class Distribution

getMean

public double getMean()

This method computes the mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

This method computes the variance

Overrides:

getVariance in class Distribution

getCDF

public double getCDF(double x)

This method comptues the cumulative distribution function

Overrides:

getCDF in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution