edu.ucla.stat.SOCR.distributions
Class NonCentralChiSquareDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class NonCentralChiSquareDistribution
extends Distribution

This class encapsulates the Non-Central Chi-Square distribution with specified: k > 0\, degrees of freedom, and \lambda > 0, non-centrality parameters parameters. http://en.wikipedia.org/wiki/Noncentral_chi-square_distribution .

Field Summary

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

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

Constructor Summary

NonCentralChiSquareDistribution()
This default constructor creates a new standard normal distribution

NonCentralChiSquareDistribution(int _df, double _lambda)
This general constructor creates a new normal distribution with specified parameter values

Method Summary

double	getDensity(double x) This method defines the getDensity function
double	getDF() This method gets the DF parameter
double	getLambda() This method returns the location parameter
double	getMean() These methods return the mean
double	getMGF(double t) Computes the moment generating function in closed form for a parameter t < 0.5
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getSD() These methods return the variance
double	getVariance() These methods return the variance
void	initialize() used for some subclass to initialize before being used
void	setDF(int _df) This method sets the scale parameter
void	setLambda(double l) This method sets the location parameter
void	setParameters(int _df, double _lambda) This method sets the parameters
void	valueChanged()

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, getMaxDensity, getMean, getMedian, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, 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, 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

NonCentralChiSquareDistribution

public NonCentralChiSquareDistribution(int _df,
                                       double _lambda)

This general constructor creates a new normal distribution with specified parameter values

NonCentralChiSquareDistribution

public NonCentralChiSquareDistribution()

This default constructor creates a new standard normal distribution

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 _df,
                          double _lambda)

This method sets the parameters

getDensity

public double getDensity(double x)

This method defines the getDensity function

Specified by:

getDensity in class Distribution

getMean

public double getMean()

These methods return the mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

These methods return the variance

Overrides:

getVariance in class Distribution

getSD

public double getSD()

These methods return the variance

Overrides:

getSD in class Distribution

getLambda

public double getLambda()

This method returns the location parameter

setLambda

public void setLambda(double l)

This method sets the location parameter

getDF

public double getDF()

This method gets the DF parameter

setDF

public void setDF(int _df)

This method sets the scale parameter

getMGF

public double getMGF(double t)

Computes the moment generating function in closed form for a parameter t < 0.5

Overrides:

getMGF in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution