edu.ucla.stat.SOCR.distributions
Class ExponentialDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class ExponentialDistribution
extends GammaDistribution

This class defines the (general) Exponential distribution with rate parameter r and shift parameter s. http://mathworld.wolfram.com/ExponentialDistribution.html .

Field Summary

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

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

Constructor Summary

ExponentialDistribution()
This default constructor creates a new exponential distribution with rate 1 and shift 0.

ExponentialDistribution(double r)
This general constructor creates a new exponential distribution with a specified rate

ExponentialDistribution(double[] distData)

ExponentialDistribution(double r, double s)
This general constructor creates a new exponential distribution with a specified rate and shift parameters

ExponentialDistribution(float[] distData)

Method Summary

double	getCDF(double x) This method defines the cumulative distribution function
double	getDensity(double x) This method defines the getDensity function
double	getMaxDensity() This method defines the getMaxDensity function
double	getMean() Compute the mean in closed form
double	getMGF(double t) Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
double	getMode() Compute the mean in closed form
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getQuantile(double p) The method defines the getQuantile function
double	getRate() This method gets the rate
double	getSD() Compute the variance in closed form
double	getShift() This method gets the shift
double	getVariance() Compute the variance in closed form
void	initialize() used for some subclass to initialize before being used
double	minimum(double[] distData) The method finds the minimum of a double array
void	paramEstimate(double[] distData) This method estimates the parameters of this distribution.
void	setRate(double r) This method sets the rate parameter
void	setShift(double s) This method sets the Shift parameter
double	simulate() This method simulates an Exponential variable
void	valueChanged()

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

getScale, getShape, setParameters

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, getPGF, getPGFDomain, getSampleMoment, getSOCRDistributionFunctors, 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

ExponentialDistribution

public ExponentialDistribution(double[] distData)

ExponentialDistribution

public ExponentialDistribution(float[] distData)

ExponentialDistribution

public ExponentialDistribution(double r)

This general constructor creates a new exponential distribution with a specified rate

ExponentialDistribution

public ExponentialDistribution(double r,
                               double s)

This general constructor creates a new exponential distribution with a specified rate and shift parameters

ExponentialDistribution

public ExponentialDistribution()

This default constructor creates a new exponential distribution with rate 1 and shift 0.

Method Detail

initialize

public void initialize()

Description copied from class: Distribution

used for some subclass to initialize before being used

Overrides:

initialize in class GammaDistribution

valueChanged

public void valueChanged()

Overrides:

valueChanged in class GammaDistribution

setRate

public void setRate(double r)

This method sets the rate parameter

setShift

public void setShift(double s)

This method sets the Shift parameter

getRate

public double getRate()

This method gets the rate

getShift

public double getShift()

This method gets the shift

getDensity

public double getDensity(double x)

This method defines the getDensity function

Overrides:

getDensity in class GammaDistribution

getMaxDensity

public double getMaxDensity()

This method defines the getMaxDensity function

Overrides:

getMaxDensity in class GammaDistribution

getCDF

public double getCDF(double x)

This method defines the cumulative distribution function

Overrides:

getCDF in class GammaDistribution

getMGF

public double getMGF(double t)
              throws ParameterOutOfBoundsException

Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.

Overrides:

getMGF in class GammaDistribution

Throws:

ParameterOutOfBoundsException

getQuantile

public double getQuantile(double p)

The method defines the getQuantile function

Overrides:

getQuantile in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class GammaDistribution

minimum

public double minimum(double[] distData)

The method finds the minimum of a double array

getMean

public double getMean()

Compute the mean in closed form

Overrides:

getMean in class GammaDistribution

getMode

public double getMode()

Compute the mean in closed form

getVariance

public double getVariance()

Compute the variance in closed form

Overrides:

getVariance in class GammaDistribution

getSD

public double getSD()

Compute the variance in closed form

Overrides:

getSD in class Distribution

paramEstimate

public void paramEstimate(double[] distData)

This method estimates the parameters of this distribution.

Overrides:

paramEstimate in class GammaDistribution

simulate

public double simulate()

This method simulates an Exponential variable

Overrides:

simulate in class GammaDistribution