edu.ucla.stat.SOCR.distributions

Class Convolution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.Convolution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class Convolution
extends Distribution

This class creates the n-fold convolution of a given distribution

Field Summary

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

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

Constructor Summary

Constructors

Constructor and Description
Convolution() This defalut constructor creates a new convolution distribution corrrepsonding to the uniform distribution on (0,1), with convolution power 5.
Convolution(Distribution d, int n) This general constructor: creates a new convolution distribution corresponding to a specified distribution and convolution power

Method Summary

Methods

Modifier and Type	Method and Description
double	getDensity(double x) Density function
Distribution	getDistribution() This method returns the distribution.
double	getMean() Mean
int	getPower() This method returns the convolution power.
double	getVariance() Variance
void	setDistribution(Distribution d) This method sets the distribution.
void	setParameters(Distribution d, int n) This method sets the parameters: the distribution and convolution power.
void	setPower(int n) This method sets the convolution power.
double	simulate() Simulate a value from the distribution

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, getOnlineDescription, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, initialize, inverseCDF, logGamma, paramEstimate, perm, sampleMean, sampleVar, setApplet, setDomain, setDomain, setMGFDomain, setMGFDomain, setMGFParameters, setMGFParameters, setMGFParameters, setMGFParameters, setParameters, setPGFDomain, setPGFDomain, setPGFParameters, setPGFParameters, setPGFParameters, setPGFParameters, update, valueChanged, 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

Convolution

public Convolution(Distribution d,
           int n)

This general constructor: creates a new convolution distribution corresponding to a specified distribution and convolution power

Convolution

public Convolution()

This defalut constructor creates a new convolution distribution corrrepsonding to the uniform distribution on (0,1), with convolution power 5.

Method Detail

setParameters

public void setParameters(Distribution d,
                 int n)

This method sets the parameters: the distribution and convolution power. The method computes and store pdf values

getDensity

public double getDensity(double x)

Density function

Specified by:

getDensity in class Distribution

getMean

public double getMean()

Mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

Variance

Overrides:

getVariance in class Distribution

simulate

public double simulate()

Simulate a value from the distribution

Overrides:

simulate in class Distribution

setPower

public void setPower(int n)

This method sets the convolution power.

getPower

public int getPower()

This method returns the convolution power.

setDistribution

public void setDistribution(Distribution d)

This method sets the distribution.

getDistribution

public Distribution getDistribution()

This method returns the distribution.