edu.ucla.stat.SOCR.distributions
Class LogisticDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class LogisticDistribution
extends Distribution

This class models the logistic distribution

Field Summary

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

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

Constructor Summary

LogisticDistribution()
This default constructor creates a new logsitic distribution

LogisticDistribution(double[] distData)

LogisticDistribution(double mu, double sigma)
This general constructor creates a new Logistic distribution with specified parameter values

LogisticDistribution(float[] distData)

Method Summary

double	getCDF(double x) This method computes the cumulative distribution function
double	getDensity(double x) This method computes the getDensity function
double	getMaxDensity() This method computes the maximum value of the getDensity function
double	getMean() This method returns the mean
double	getMean(double[] distData) This method returns the sample mean of a data series
double	getMGF(double t) Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getQuantile(double p) This method comptues the getQuantile function
double	getVariance() This method computes the variance
double	getVariance(double[] distData) This method returns the sample variance of a data series
void	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData)
void	setParameters(double m, double s) This method sets the parameters
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, getMedian, getMgfDomain, getName, getPGF, getPGFDomain, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, inverseCDF, logGamma, 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

LogisticDistribution

public LogisticDistribution(double mu,
                            double sigma)

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

LogisticDistribution

public LogisticDistribution()

This default constructor creates a new logsitic distribution

LogisticDistribution

public LogisticDistribution(double[] distData)

LogisticDistribution

public LogisticDistribution(float[] distData)

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

paramEstimate

public void paramEstimate(double[] distData)

Overrides:

paramEstimate in class Distribution

setParameters

public void setParameters(double m,
                          double s)

This method sets the parameters

getMean

public double getMean(double[] distData)

Description copied from class: Distribution

This method returns the sample mean of a data series

Overrides:

getMean in class Distribution

getVariance

public double getVariance(double[] distData)

Description copied from class: Distribution

This method returns the sample variance of a data series

Overrides:

getVariance in class Distribution

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 maximum value of the getDensity function

Overrides:

getMaxDensity in class Distribution

getCDF

public double getCDF(double x)

This method computes the cumulative distribution function

Overrides:

getCDF in class Distribution

getMGF

public double getMGF(double t)

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

Overrides:

getMGF in class Distribution

getQuantile

public double getQuantile(double p)

This method comptues the getQuantile function

Overrides:

getQuantile in class Distribution

getMean

public double getMean()

This method returns the mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

This method computes the variance

Overrides:

getVariance in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution