edu.ucla.stat.SOCR.distributions
Class FisherDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class FisherDistribution
extends Distribution

This class models the Fisher F distribution with a spcified number of degrees of freedom in the numerator and denominator. http://mathworld.wolfram.com/F-Distribution.html .

Field Summary

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

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

Constructor Summary

FisherDistribution()
This default constructor creates a new Fisher distribution with 5 degrees of freedom in numerator and denominator

FisherDistribution(int n, int d)
This general constructor creates a new Fisher distribution with a specified number of degrees of freedom in the numerator and denominator

Method Summary

double	getCDF(double x) This method computes the cumulative distribution function in terms of the beta CDF
double	getDDegrees() This method gets the denominator degrees of freedom
double	getDensity(double x) This method computes the denisty function
double	getMaxDensity() This method computes the maximum value of the getDensity function
double	getMean() This method returns the mean
double	getNDegrees() This method returns the numerator degrees of freedom
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getVariance() This method returns the variance
void	initialize() used for some subclass to initialize before being used
void	setDDegrees(int d) This method sets the denominator degrees of freedom
void	setNDegrees(int n) This method sets the numerator degrees of freedom
void	setParameters(int n, int d) This method sets the parameters, the degrees of freedom in the numerator and denominator.
double	simulate() This method simulates a value from the distribution
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, getMGF, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, inverseCDF, logGamma, paramEstimate, 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

FisherDistribution

public FisherDistribution(int n,
                          int d)

This general constructor creates a new Fisher distribution with a specified number of degrees of freedom in the numerator and denominator

FisherDistribution

public FisherDistribution()

This default constructor creates a new Fisher distribution with 5 degrees of freedom in numerator and denominator

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(int n,
                          int d)

This method sets the parameters, the degrees of freedom in the numerator and denominator. Additionally, the normalizing constant and default interval are computed

getDensity

public double getDensity(double x)

This method computes the denisty function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

This method computes the maximum value of the getDensity function

Overrides:

getMaxDensity in class Distribution

getMean

public double getMean()

This method returns the mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

This method returns the variance

Overrides:

getVariance in class Distribution

getCDF

public double getCDF(double x)

This method computes the cumulative distribution function in terms of the beta CDF

Overrides:

getCDF in class Distribution

getNDegrees

public double getNDegrees()

This method returns the numerator degrees of freedom

setNDegrees

public void setNDegrees(int n)

This method sets the numerator degrees of freedom

getDDegrees

public double getDDegrees()

This method gets the denominator degrees of freedom

setDDegrees

public void setDDegrees(int d)

This method sets the denominator degrees of freedom

simulate

public double simulate()

This method simulates a value from the distribution

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