edu.ucla.stat.SOCR.distributions

Class GilbratsDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.LogNormalDistribution

edu.ucla.stat.SOCR.distributions.GilbratsDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class GilbratsDistribution
extends LogNormalDistribution

This class models the Gilbrat's distribution: A continuous distribution in which the logarithm of a variable x has a Standard Normal distribution. It is a special case of the Log-Normal distribution. http://en.wikipedia.org/wiki/Log-normal_distribution .

Field Summary

Fields

Modifier and Type	Field and Description
static double	C

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

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

Constructor Summary

Constructors

Constructor and Description
GilbratsDistribution() This general constructor creates a new Gilbrat's distribution.

Method Summary

Methods

Modifier and Type	Method and Description
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 computes the mean
double	getMu() This method returns mu
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getSigma() This method gets sigma
double	getVariance() This method computes the variance
void	setMu(double m) This method sets mu
void	setParameters(double m, double s) This method sets the parameters, computes the default interval
void	setSigma(double s) This method sets sigma
double	simulate() This method simulates a value from the distribution

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

initialize, paramEstimate, 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, getMedian, getMGF, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, 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

Field Detail

C

public static final double C

Constructor Detail

GilbratsDistribution

public GilbratsDistribution()

This general constructor creates a new Gilbrat's distribution.

Method Detail

setParameters

public void setParameters(double m,
                 double s)

This method sets the parameters, computes the default interval

Overrides:

setParameters in class LogNormalDistribution

getDensity

public double getDensity(double x)

This method computes the getDensity function

Overrides:

getDensity in class LogNormalDistribution

getMaxDensity

public double getMaxDensity()

This method computes the maximum value of the getDensity function

Overrides:

getMaxDensity in class LogNormalDistribution

getMean

public double getMean()

This method computes the mean

Overrides:

getMean in class LogNormalDistribution

getVariance

public double getVariance()

This method computes the variance

Overrides:

getVariance in class LogNormalDistribution

simulate

public double simulate()

This method simulates a value from the distribution

Overrides:

simulate in class LogNormalDistribution

getMu

public double getMu()

This method returns mu

Overrides:

getMu in class LogNormalDistribution

setMu

public void setMu(double m)

This method sets mu

Overrides:

setMu in class LogNormalDistribution

getSigma

public double getSigma()

This method gets sigma

Overrides:

getSigma in class LogNormalDistribution

setSigma

public void setSigma(double s)

This method sets sigma

Overrides:

setSigma in class LogNormalDistribution

getCDF

public double getCDF(double x)

This method computes the cumulative distribution function

Overrides:

getCDF in class LogNormalDistribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class LogNormalDistribution