edu.ucla.stat.SOCR.distributions

Class LogisticExponentialDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class LogisticExponentialDistribution
extends Distribution

This class models the LogisticExponential distribution http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/lexpdf.htm

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
LogisticExponentialDistribution() This default constructor creates a new logitic-exponential distribution
LogisticExponentialDistribution(double mu, double sigma, double shape) This general constructor creates a new LogisticExponential distribution with specified parameter values

Method Summary

Methods

Modifier and Type	Method and Description
double	getCDF(double x) This method computes the CDF function
double	getDensity(double x) This method computes the getDensity function
double	getLocation() This method returns the mean
double	getMaxDensity() This method computes the MAX value of the Density
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getScale() This method returns the scale
double	getShape() This method returns the shape
void	initialize() used for some subclass to initialize before being used
double	inverseCDF(double probability) Inverse of the cumulative Normal distribution function.
void	setParameters(double m, double s, double _shape) This method sets the parameters
double	stdLogistictExpCDF(double x) This method computes the Standard LogLogit CDF function
double	stdLogistictExpPDF(double x) This method computes the Standard LogLogit Density function
void	valueChanged()

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

LogisticExponentialDistribution

public LogisticExponentialDistribution(double mu,
                               double sigma,
                               double shape)

This general constructor creates a new LogisticExponential distribution with specified parameter values

LogisticExponentialDistribution

public LogisticExponentialDistribution()

This default constructor creates a new logitic-exponential distribution

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()

Overrides:

valueChanged in class Distribution

setParameters

public void setParameters(double m,
                 double s,
                 double _shape)

This method sets the parameters

inverseCDF

public double inverseCDF(double probability)

Inverse of the cumulative Normal distribution function.

Overrides:

inverseCDF in class Distribution

Parameters:

probability - - a probability value in [0, 1]

Returns:

the value X for which P(x<X).

getDensity

public double getDensity(double x)

This method computes the getDensity function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

This method computes the MAX value of the Density

Overrides:

getMaxDensity in class Distribution

stdLogistictExpPDF

public double stdLogistictExpPDF(double x)

This method computes the Standard LogLogit Density function

getCDF

public double getCDF(double x)

This method computes the CDF function

Overrides:

getCDF in class Distribution

stdLogistictExpCDF

public double stdLogistictExpCDF(double x)

This method computes the Standard LogLogit CDF function

getLocation

public double getLocation()

This method returns the mean

getScale

public double getScale()

This method returns the scale

getShape

public double getShape()

This method returns the shape

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution