edu.ucla.stat.SOCR.distributions
Class FiniteDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

Direct Known Subclasses:

DieDistribution

public class FiniteDistribution
extends Distribution

A basic discrete distribution on a finite set of points, with specified probabilities

Field Summary

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

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

Constructor Summary

FiniteDistribution()
This special constructor creates a new uniform distribution on {1, 2, ..., 10}.

FiniteDistribution(double a, double b, double w)
Constructs the uniform distribuiton on the finite set of points

FiniteDistribution(double a, double b, double w, double[] p)
Constructs a new finite distribution on a finite set of points with a specified array of probabilities

Method Summary

double	getDensity(double x) Density function
double[]	getProbabilities() This method gets the probability vector.
double	getProbability(int i) This method gets the probability for a specified index
void	initialize() used for some subclass to initialize before being used
void	setParameters(double a, double b, double w, double[] p) This method sets the parameters: the domain and the probabilities.
void	setProbabilities(double[] p) Set the probabilities
void	valueChanged(java.util.Observable o, java.lang.Object arg)

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, getMean, getMedian, getMGF, getMgfDomain, getName, getOnlineDescription, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, 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

FiniteDistribution

public FiniteDistribution(double a,
                          double b,
                          double w,
                          double[] p)

Constructs a new finite distribution on a finite set of points with a specified array of probabilities

FiniteDistribution

public FiniteDistribution(double a,
                          double b,
                          double w)

Constructs the uniform distribuiton on the finite set of points

FiniteDistribution

public FiniteDistribution()

This special constructor creates a new uniform distribution on {1, 2, ..., 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(java.util.Observable o,
                         java.lang.Object arg)

Overrides:

valueChanged in class Distribution

setParameters

public void setParameters(double a,
                          double b,
                          double w,
                          double[] p)

This method sets the parameters: the domain and the probabilities.

getDensity

public double getDensity(double x)

Density function

Specified by:

getDensity in class Distribution

setProbabilities

public void setProbabilities(double[] p)

Set the probabilities

getProbability

public double getProbability(int i)

This method gets the probability for a specified index

getProbabilities

public double[] getProbabilities()

This method gets the probability vector.