edu.ucla.stat.SOCR.distributions

Class RayleighDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.RayleighDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class RayleighDistribution
extends Distribution

A Java implmentation of the Rayleigh distribution with specified alpha & beta parameters http://mathworld.wolfram.com/RayleighDistribution.html

Field Summary

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

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

Constructor Summary

Constructors

Constructor and Description
RayleighDistribution() Default constructor: creates a Rayleigh distribution with beta parameter
RayleighDistribution(double b) General Constructor: creates a Rayleigh distribution with specified beta parameter

Method Summary

Methods

Modifier and Type	Method and Description
double	getCDF(double x) Compute the cumulative distribution function.
double	getDensity(double x) Define the beta getDensity function
double	getMaxDensity() Compute the maximum getDensity
double	getMean() Compute the mean in closed form
double	getMGF(double t) Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getParameter() Get the parameter
double	getVariance() Compute the variance in closed form
void	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData)
void	setParameters(double b) Set the parameters, compute the normalizing constant c, and specifies the interval and partition
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, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, inverseCDF, logGamma, 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

RayleighDistribution

public RayleighDistribution(double b)

General Constructor: creates a Rayleigh distribution with specified beta parameter

RayleighDistribution

public RayleighDistribution()

Default constructor: creates a Rayleigh distribution with beta parameter

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

setParameters

public void setParameters(double b)

Set the parameters, compute the normalizing constant c, and specifies the interval and partition

getParameter

public double getParameter()

Get the parameter

getDensity

public double getDensity(double x)

Define the beta getDensity function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

Compute the maximum getDensity

Overrides:

getMaxDensity in class Distribution

getMean

public double getMean()

Compute the mean in closed form

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

Compute the variance in closed form

Overrides:

getVariance in class Distribution

getCDF

public double getCDF(double x)

Compute the cumulative distribution function. The Rayleigh CDF is built into the superclass Distribution

Overrides:

getCDF in class Distribution

getMGF

public double getMGF(double t)

Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.

Overrides:

getMGF in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution

paramEstimate

public void paramEstimate(double[] distData)

Overrides:

paramEstimate in class Distribution