edu.ucla.stat.SOCR.distributions

Class PointMassDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.PointMassDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class PointMassDistribution
extends Distribution

Point mass at x0.

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
PointMassDistribution()
PointMassDistribution(double x0)

Method Summary

Methods

Modifier and Type	Method and Description
double	CDF(double x)
double	getDensity(double x) The getDensity method is abstract and must be overridden for any specific distribuiton
double	getMaxDensity() This method returns the largest (finite) value of the getDensity function on the finite set of domain values.
double	getMean() This method returns a default approximate mean, based on the finite set of domain values.
java.lang.String	getName()
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getParameter(int i)
double	getQuantile(double p) This method computes an approximate getQuantile function.
double	getVariance() This method returns a default approximate variance.
void	setParameters(double x0)
double	simulate() This method computes a default simulation of a value from the distribution, as a random getQuantile.

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, getMGF, getMgfDomain, getPGF, getPGFDomain, 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

PointMassDistribution

public PointMassDistribution(double x0)

PointMassDistribution

public PointMassDistribution()

Method Detail

setParameters

public void setParameters(double x0)

getDensity

public double getDensity(double x)

Description copied from class: Distribution

The getDensity method is abstract and must be overridden for any specific distribuiton

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

Description copied from class: Distribution

This method returns the largest (finite) value of the getDensity function on the finite set of domain values. This method should be overridden if the maximum value is known in closed form

Overrides:

getMaxDensity in class Distribution

getMean

public double getMean()

Description copied from class: Distribution

This method returns a default approximate mean, based on the finite set of domain values. This method should be overriden if the mean is known in closed form

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

Description copied from class: Distribution

This method returns a default approximate variance. This method should be overriden if the variance is known in closed form

Overrides:

getVariance in class Distribution

getParameter

public double getParameter(int i)

simulate

public double simulate()

Description copied from class: Distribution

This method computes a default simulation of a value from the distribution, as a random getQuantile. This method should be overridden if a better method of simulation is known.

Overrides:

simulate in class Distribution

getQuantile

public double getQuantile(double p)

Description copied from class: Distribution

This method computes an approximate getQuantile function. This should be overriden if the getQuantile function is known in closed form

Overrides:

getQuantile in class Distribution

CDF

public double CDF(double x)

getName

public java.lang.String getName()

Specified by:

getName in interface Pluginable

Overrides:

getName in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution