edu.ucla.stat.SOCR.distributions
Class RayleighDistribution

java.lang.Object
  extended by edu.ucla.stat.SOCR.core.SOCRValueSettable
      extended by edu.ucla.stat.SOCR.core.Distribution
          extended by 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
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
 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