edu.ucla.stat.SOCR.distributions
Class HypergeometricDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class HypergeometricDistribution
extends Distribution

This class models the HyperGeometric distribution with parameters m (population size), n (sample size), and r (number of type 1 objects). http://mathworld.wolfram.com/HypergeometricDistribution.html .

Field Summary

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

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

Constructor Summary

HypergeometricDistribution()
Default constructor: creates a new hypergeometric distribuiton with parameters m = 100, r = 50, n = 10

HypergeometricDistribution(int m, int r, int n)
General constructor: creates a new hypergeometric distribution with specified values of the parameters

Method Summary

double	getDensity(double x) Density function
double	getMaxDensity() Maximum value of the getDensity function
double	getMean() Mean
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
int	getPopulationSize() Get population size
int	getSampleSize() Get sample size
int	getType1Size() Get sub-population size
double	getVariance() Variance
void	initialize() used for some subclass to initialize before being used
void	setParameters(int m, int r, int n) Set the parameters of the distribution
void	setPopulationSize(int m) Set population size
void	setSampleSize(int n) Set sample size
void	setType1Size(int r) Set sub-population size
double	simulate() Simulate 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, getCDF, 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

HypergeometricDistribution

public HypergeometricDistribution(int m,
                                  int r,
                                  int n)

General constructor: creates a new hypergeometric distribution with specified values of the parameters

HypergeometricDistribution

public HypergeometricDistribution()

Default constructor: creates a new hypergeometric distribuiton with parameters m = 100, r = 50, n = 10

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 m,
                          int r,
                          int n)

Set the parameters of the distribution

getDensity

public double getDensity(double x)

Density function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

Maximum value of the 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

setPopulationSize

public void setPopulationSize(int m)

Set population size

getPopulationSize

public int getPopulationSize()

Get population size

setType1Size

public void setType1Size(int r)

Set sub-population size

getType1Size

public int getType1Size()

Get sub-population size

setSampleSize

public void setSampleSize(int n)

Set sample size

getSampleSize

public int getSampleSize()

Get sample size

simulate

public double simulate()

Simulate 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