edu.ucla.stat.SOCR.distributions
Class BetaBinomialDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class BetaBinomialDistribution
extends Distribution

The binomial distribution with specified parameters: the number of trials (n) and the probability of success (p) http://mathworld.wolfram.com/BetaBinomialDistribution.html .

Field Summary

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

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

Constructor Summary

BetaBinomialDistribution()
Default constructor: creates the Beta-Binomial distribution with 10 trials, a=1, b=2

BetaBinomialDistribution(int n, double a, double b)
General constructor: creates the beta-binomial distribution with specified parameters

Method Summary

double	getAlpha() Get alpha parameter
double	getBeta() Get beta parameter
double	getDensity(double x) Define the Beta-Binomial getDensity function
double	getMean() Give the mean in closed form
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getSD() Specify the SD in close form
int	getTrials() Get the number of trials
double	getVariance() Specify the variance in close form
void	initialize() used for some subclass to initialize before being used
void	setAlpha(double a) Set alpha parameter
void	setBeta(double b) Set beta parameter
void	setParameters(int n, double a, double b) Set the parameters
void	setTrials(int n) Set the number of trails
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, getMGF, 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

BetaBinomialDistribution

public BetaBinomialDistribution()

Default constructor: creates the Beta-Binomial distribution with 10 trials, a=1, b=2

BetaBinomialDistribution

public BetaBinomialDistribution(int n,
                                double a,
                                double b)

General constructor: creates the beta-binomial distribution with specified parameters

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,
                          double a,
                          double b)

Set the parameters

setTrials

public void setTrials(int n)

Set the number of trails

getTrials

public int getTrials()

Get the number of trials

setAlpha

public void setAlpha(double a)

Set alpha parameter

getAlpha

public double getAlpha()

Get alpha parameter

setBeta

public void setBeta(double b)

Set beta parameter

getBeta

public double getBeta()

Get beta parameter

getDensity

public double getDensity(double x)

Define the Beta-Binomial getDensity function

Specified by:

getDensity in class Distribution

getMean

public double getMean()

Give the mean in closed form

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

Specify the variance in close form

Overrides:

getVariance in class Distribution

getSD

public double getSD()

Specify the SD in close form

Overrides:

getSD in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution