edu.ucla.stat.SOCR.distributions
Class GammaDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

Direct Known Subclasses:

ChiSquareDistribution, ExponentialDistribution

public class GammaDistribution
extends Distribution

Gamma distribution with a specified shape parameter and scale parameter. http://en.wikipedia.org/wiki/Gamma_distribution .

Field Summary

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

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

Constructor Summary

GammaDistribution()
Default Constructor: creates a new gamma distribution with shape parameter 1 and scale parameter 1

GammaDistribution(double[] distData)

GammaDistribution(double k, double b)
General Constructor: creates a new gamma distribution with shape parameter k and scale parameter b

GammaDistribution(float[] distData)

Method Summary

double	getCDF(double x) Cumulative distribution function
double	getDensity(double x) Density function
double	getMaxDensity() Maximum value of getDensity function
double	getMean() Mean
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	getScale() Get scale parameters
double	getShape() Get shape parameters
double	getVariance() Variance
void	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData)
void	setParameters(double k, double b) Set parameters and assign the default partition
double	simulate() Simulate a value
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, 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

GammaDistribution

public GammaDistribution(double[] distData)

GammaDistribution

public GammaDistribution(float[] distData)

GammaDistribution

public GammaDistribution(double k,
                         double b)

General Constructor: creates a new gamma distribution with shape parameter k and scale parameter b

GammaDistribution

public GammaDistribution()

Default Constructor: creates a new gamma distribution with shape parameter 1 and scale parameter 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

setParameters

public void setParameters(double k,
                          double b)

Set parameters and assign the default partition

getShape

public double getShape()

Get shape parameters

getScale

public double getScale()

Get scale parameters

getDensity

public double getDensity(double x)

Density function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

Maximum value of getDensity function

Overrides:

getMaxDensity in class Distribution

getMean

public double getMean()

Mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

Variance

Overrides:

getVariance in class Distribution

getCDF

public double getCDF(double x)

Cumulative distribution function

Overrides:

getCDF in class Distribution

getMGF

public double getMGF(double t)
              throws ParameterOutOfBoundsException

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

Throws:

ParameterOutOfBoundsException

simulate

public double simulate()

Simulate a value

Overrides:

simulate 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