edu.ucla.stat.SOCR.distributions
Class BetaGeneralDistribution

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.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)