edu.ucla.stat.SOCR.distributions
Class BetaGeneralDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class BetaGeneralDistribution
extends Distribution

A Java implmentation of the (General) Beta Distribution with specified: left(alpha) and right(beta) parameters AND LIMITS A and B. http://mathworld.wolfram.com/BetaDistribution.html .

Field Summary

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

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

Constructor Summary

BetaGeneralDistribution()
Default constructor: creates a beta distribution with left and right parameters equal to 1

BetaGeneralDistribution(double[] distData)

BetaGeneralDistribution(double a, double b, double A, double B)

BetaGeneralDistribution(float[] distData)

Method Summary

double	getDensity(double x) Define the beta getDensity function
double	getLeft() ----------------------------------GET--------------------------
double	getLeftLimit() Get the left LIMIT
double	getMaxDensity() Compute the maximum getDensity
double	getMean() Compute the mean in closed form
double	getMedian() This method computes a default approximate median.
double	getMode() Compute the Generalized Beta Median==Mode
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getRight() Get the right parameter
double	getRightLimit() Get the right LIMIT
double	getVariance() Compute the variance in closed form
void	initialize() used for some subclass to initialize before being used
double	maxDouble(double[] X)
double	minDouble(double[] X)
void	paramEstimate(double[] distData) overwrites the method in distribution for estimating parameters
void	setLeft(double a) Sets the left parameter
void	setLeftLimit(double _leftLimit) Sets the left LIMIT
void	setParameters(double a, double b, double _A, double _B) Set the parameters, compute the normalizing constant c, and specifies the interval and partition
void	setRight(double b) Sets the right parameter
void	setRightLimit(double _rightLimit) Sets the right LIMIT
void	valueChanged(java.util.Observable o, java.lang.Object arg)

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

addObserver, betaCDF, comb, factorial, findGFRoot, findRoot, gamma, gammaCDF, getCDF, getDisplayPane, getDomain, getFailureRate, getGFDerivative, getGFSecondDerivative, getInstance, getLocalHelp, getMean, getMGF, 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

BetaGeneralDistribution

public BetaGeneralDistribution(double a,
                               double b,
                               double A,
                               double B)

BetaGeneralDistribution

public BetaGeneralDistribution(double[] distData)

BetaGeneralDistribution

public BetaGeneralDistribution(float[] distData)

BetaGeneralDistribution

public BetaGeneralDistribution()

Default constructor: creates a beta distribution with left and right parameters equal to 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(java.util.Observable o,
                         java.lang.Object arg)

Overrides:

valueChanged in class Distribution

setParameters

public void setParameters(double a,
                          double b,
                          double _A,
                          double _B)

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

setLeft

public void setLeft(double a)

Sets the left parameter

setRight

public void setRight(double b)

Sets the right parameter

setLeftLimit

public void setLeftLimit(double _leftLimit)

Sets the left LIMIT

setRightLimit

public void setRightLimit(double _rightLimit)

Sets the right LIMIT

getLeft

public double getLeft()

----------------------------------GET--------------------------

getRight

public double getRight()

Get the right parameter

getLeftLimit

public double getLeftLimit()

Get the left LIMIT

getRightLimit

public double getRightLimit()

Get the right LIMIT

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

getMode

public double getMode()

Compute the Generalized Beta Median==Mode

getMedian

public double getMedian()

Description copied from class: Distribution

This method computes a default approximate median. This method should be overriden when there is a closed form expression for the median.

Overrides:

getMedian in class Distribution

getMean

public double getMean()

Compute the mean in closed form

Overrides:

getMean in class Distribution

paramEstimate

public void paramEstimate(double[] distData)

overwrites the method in distribution for estimating parameters

Overrides:

paramEstimate in class Distribution

getVariance

public double getVariance()

Compute the variance in closed form

Overrides:

getVariance in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution

maxDouble

public double maxDouble(double[] X)

minDouble

public double minDouble(double[] X)