edu.ucla.stat.SOCR.distributions
Class BernoulliDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class BernoulliDistribution
extends BinomialDistribution

The Bernoulli distribution with parameter p http://mathworld.wolfram.com/BernoulliDistribution.html .

Field Summary

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

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

Constructor Summary

BernoulliDistribution()
This default constructor creates a new Bernoulli distribution with parameter p = 0.5

BernoulliDistribution(double p)
This general constructor creates a new Bernoulli distribution with a specified parameter

Method Summary

double	getMaxDensity() This method returns the maximum value of the getDensity function
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
void	initialize() used for some subclass to initialize before being used
void	setTrials(int n) This method overrides the corresponding method in BinomialDistribution so that the number of trials 1 cannot be changed
void	valueChanged()

Methods inherited from class edu.ucla.stat.SOCR.distributions.BinomialDistribution

getCDF, getDensity, getMean, getMGF, getMode, getPGF, getProbability, getSD, getTrials, getVariance, inverseCDF, paramEstimate, setParameters, setProbability, simulate

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, getMgfDomain, getName, getPGFDomain, getQuantile, getSampleMoment, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, 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

BernoulliDistribution

public BernoulliDistribution()

This default constructor creates a new Bernoulli distribution with parameter p = 0.5

BernoulliDistribution

public BernoulliDistribution(double p)

This general constructor creates a new Bernoulli distribution with a specified parameter

Method Detail

initialize

public void initialize()

Description copied from class: Distribution

used for some subclass to initialize before being used

Overrides:

initialize in class BinomialDistribution

valueChanged

public void valueChanged()

Overrides:

valueChanged in class BinomialDistribution

setTrials

public void setTrials(int n)

This method overrides the corresponding method in BinomialDistribution so that the number of trials 1 cannot be changed

Overrides:

setTrials in class BinomialDistribution

getMaxDensity

public double getMaxDensity()

This method returns the maximum value of the getDensity function

Overrides:

getMaxDensity in class BinomialDistribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class BinomialDistribution