edu.ucla.stat.SOCR.distributions
Class LogNormalDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

Direct Known Subclasses:

GilbratsDistribution

public class LogNormalDistribution
extends Distribution

This class models the lognormal distribution with specified (mean & SD) parameters. http://mathworld.wolfram.com/LogNormalDistribution.html .

Field Summary

static double

C

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

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

Constructor Summary

LogNormalDistribution()
This default constructor creates the standard lognormal distribution

LogNormalDistribution(double m, double s)
This general constructor creates a new lognormal distribution with specified parameters

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 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	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData)
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
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, 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

LogNormalDistribution

public LogNormalDistribution(double m,
                             double s)

This general constructor creates a new lognormal distribution with specified parameters

LogNormalDistribution

public LogNormalDistribution()

This default constructor creates the standard lognormal 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)

This method sets the parameters, computes the default interval

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

getMean

public double getMean()

This method computes the mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

This method computes the variance

Overrides:

getVariance in class Distribution

simulate

public double simulate()

This method simulates a value from the distribution

Overrides:

simulate in class Distribution

getMu

public double getMu()

This method returns mu

setMu

public void setMu(double m)

This method sets mu

getSigma

public double getSigma()

This method gets sigma

setSigma

public void setSigma(double s)

This method sets sigma

getCDF

public double getCDF(double x)

This method computes the cumulative distribution function

Overrides:

getCDF in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution

paramEstimate

public void paramEstimate(double[] distData)

Overrides:

paramEstimate in class Distribution