edu.ucla.stat.SOCR.distributions
Class GeometricDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class GeometricDistribution
extends NegativeBinomialDistribution

The geometric distribution with parameter p. http://mathworld.wolfram.com/GeometricDistribution.html .

Field Summary

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

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

Constructor Summary

GeometricDistribution()
Default Constructor: creates a new geometric distribution with parameter 0.5

GeometricDistribution(double p)
General Constructor: creates a new geometric distribution with parameter p

GeometricDistribution(double[] distData)
Constructor: Creates a new Geometric distribution from a series of observations by parameter estimation.

GeometricDistribution(float[] distData)
Constructor: Creates a new Geometric distribution from a series of observations by parameter estimation.

Method Summary

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	paramEstimate(double[] distData) Overwrites the method in distribution for estimating parameters REF: MOM estimates according to: http://en.wikipedia.org/wiki/Geometric_distribution
void	setParameters(int k, double p) Override set parameters
void	setSuccesses(int k) Override set successes
void	valueChanged()

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

getDensity, getMaxDensity, getMean, getMGF, getPGF, getProbability, getSuccesses, getVariance, setProbability, simulate

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, getMgfDomain, getName, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributions, getType, getVariance, inverseCDF, 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

GeometricDistribution

public GeometricDistribution(double p)

General Constructor: creates a new geometric distribution with parameter p

GeometricDistribution

public GeometricDistribution()

Default Constructor: creates a new geometric distribution with parameter 0.5

GeometricDistribution

public GeometricDistribution(double[] distData)

Constructor: Creates a new Geometric distribution from a series of observations by parameter estimation.

GeometricDistribution

public GeometricDistribution(float[] distData)

Constructor: Creates a new Geometric distribution from a series of observations by parameter estimation.

Method Detail

initialize

public void initialize()

Description copied from class: Distribution

used for some subclass to initialize before being used

Overrides:

initialize in class NegativeBinomialDistribution

valueChanged

public void valueChanged()

Overrides:

valueChanged in class NegativeBinomialDistribution

setParameters

public void setParameters(int k,
                          double p)

Override set parameters

Overrides:

setParameters in class NegativeBinomialDistribution

setSuccesses

public void setSuccesses(int k)

Override set successes

Overrides:

setSuccesses in class NegativeBinomialDistribution

paramEstimate

public void paramEstimate(double[] distData)

Overwrites the method in distribution for estimating parameters REF: MOM estimates according to: http://en.wikipedia.org/wiki/Geometric_distribution

Overrides:

paramEstimate in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class NegativeBinomialDistribution