edu.ucla.stat.SOCR.distributions
Class StudentDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

Direct Known Subclasses:

CauchyDistribution

public class StudentDistribution
extends Distribution

This class models the Student T distribution with a specifed degrees of freedom parameter. http://mathworld.wolfram.com/Studentst-Distribution.html .

Field Summary

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

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

Constructor Summary

StudentDistribution()
This default constructor creates a new student distribuion with 1 degree of freedom

StudentDistribution(int n)
This general constructor creates a new student distribution with a specified degrees of freedom

Method Summary

double	getCDF(double x) This method computes the cumulative distribution function in terms of the beta CDF
double	getDegrees() This method returns the degrees of freedom
double	getDensity(double x) This method computes the getDensity function
double	getMaxDensity() This method returns the maximum value of the getDensity function
double	getMean() This method returns the mean
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getSD() This method returns the SD
double	getVariance() This method returns the variance
void	initialize() used for some subclass to initialize before being used
double	inverseCDF(double probability) Inverse of the cumulative Student's T distribution function.
void	setDegrees(int n) This method sets the degrees of freedom
double	simulate() This method simulates a value of 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, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, 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

StudentDistribution

public StudentDistribution(int n)

This general constructor creates a new student distribution with a specified degrees of freedom

StudentDistribution

public StudentDistribution()

This default constructor creates a new student distribuion with 1 degree of freedom

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

getDensity

public double getDensity(double x)

This method computes the getDensity function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

This method returns 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

getSD

public double getSD()

This method returns the SD

Overrides:

getSD 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

inverseCDF

public double inverseCDF(double probability)

Inverse of the cumulative Student's T distribution function.

Overrides:

inverseCDF in class Distribution

Parameters:

probability - - a probability value in [0, 1]

Returns:

the value X for which P(x<X).

getDegrees

public double getDegrees()

This method returns the degrees of freedom

simulate

public double simulate()

This method simulates a value of 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