edu.ucla.stat.SOCR.distributions
Class ChiDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class ChiDistribution
extends Distribution

This class defines the Chi distribution with a specifed degrees of freedom. http://en.wikipedia.org/wiki/Chi_distribution . Perhaps this distribution should be defined in terms of Gamma or Chi-Square?

Field Summary

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

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

Constructor Summary

ChiDistribution()

ChiDistribution(double[] distData)

ChiDistribution(float[] distData)

ChiDistribution(int n)
This general constructor creates a new Chi distribuiton with a specified degrees of freedom parameter

Method Summary

double	getCDF(double x) Cumulative distribution function
int	getDegrees() This method returns the degrees of freedom
double	getDensity(double x) Density function
double	getMean() Mean
double	getMode() Find the Mode
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getVariance() Variance
void	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData)
void	setDegrees(int n) This method sets the degrees of freedom
void	setParameters(int n) This method sets the degrees of freedom
double	simulate() This method simulates a value from the distribuiton, as the sum of squares of independent, standard normal 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, getMaxDensity, getMean, getMedian, 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, 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

ChiDistribution

public ChiDistribution(int n)

This general constructor creates a new Chi distribuiton with a specified degrees of freedom parameter

ChiDistribution

public ChiDistribution()

ChiDistribution

public ChiDistribution(double[] distData)

ChiDistribution

public ChiDistribution(float[] distData)

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

setDegrees

public void setDegrees(int n)

This method sets the degrees of freedom

setParameters

public void setParameters(int n)

This method sets the degrees of freedom

getDegrees

public int getDegrees()

This method returns the degrees of freedom

getDensity

public double getDensity(double x)

Density function

Specified by:

getDensity in class Distribution

getMean

public double getMean()

Mean

Overrides:

getMean in class Distribution

getMode

public double getMode()

Find the Mode

getVariance

public double getVariance()

Variance

Overrides:

getVariance in class Distribution

getCDF

public double getCDF(double x)

Cumulative distribution function

Overrides:

getCDF in class Distribution

simulate

public double simulate()

This method simulates a value from the distribuiton, as the sum of squares of independent, standard normal distribution

Overrides:

simulate in class Distribution

paramEstimate

public void paramEstimate(double[] distData)

Overrides:

paramEstimate in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution