edu.ucla.stat.SOCR.distributions

Class LogarithmicSeriesDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class LogarithmicSeriesDistribution
extends Distribution

A Java implmentation of the LogarithmicSeries distribution with specified shape (shape) parameters http://en.wikipedia.org/wiki/Logarithmic_distribution .

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
LogarithmicSeriesDistribution() Default constructor: creates a default Logarithmic Series distribution
LogarithmicSeriesDistribution(double a)
LogarithmicSeriesDistribution(double[] distData)
LogarithmicSeriesDistribution(float[] distData)

Method Summary

Methods

Modifier and Type	Method and Description
double	getDensity(double x) Define the LogarithmicSeries getDensity function
double	getMaxDensity() Compute the maximum getDensity
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	getPGF(double t) Computes the probability generating function in closed form for a parameter t which lies in the domain of the distribution.
double	getSD() Compute the variance in closed form
double	getShape() Get the shape parameter
double	getVariance() Compute the variance in closed form
void	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData) overwrites the method in distribution for estimating parameters
void	setParameters(double a) Set the parameters, compute the normalizing constant NormalizingConst, and specifies the interval and partition
void	setShape(double a) Sets the shape parameter
void	valueChanged()

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

addObserver, betaCDF, comb, factorial, findGFRoot, findRoot, gamma, gammaCDF, getCDF, getDisplayPane, getDomain, getFailureRate, getGFDerivative, getGFSecondDerivative, getInstance, getLocalHelp, getMean, getMedian, getMgfDomain, getName, getPGFDomain, getQuantile, 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, 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

LogarithmicSeriesDistribution

public LogarithmicSeriesDistribution()

Default constructor: creates a default Logarithmic Series distribution

LogarithmicSeriesDistribution

public LogarithmicSeriesDistribution(double a)

LogarithmicSeriesDistribution

public LogarithmicSeriesDistribution(double[] distData)

LogarithmicSeriesDistribution

public LogarithmicSeriesDistribution(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

setParameters

public void setParameters(double a)

Set the parameters, compute the normalizing constant NormalizingConst, and specifies the interval and partition

setShape

public void setShape(double a)

Sets the shape parameter

getShape

public double getShape()

Get the shape parameter

getDensity

public double getDensity(double x)

Define the LogarithmicSeries getDensity function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

Compute the maximum getDensity

Overrides:

getMaxDensity in class Distribution

getMean

public double getMean()

Compute the mean in closed form

Overrides:

getMean in class Distribution

getMode

public double getMode()

Compute the mean in closed form

paramEstimate

public void paramEstimate(double[] distData)

overwrites the method in distribution for estimating parameters

Overrides:

paramEstimate in class Distribution

getVariance

public double getVariance()

Compute the variance in closed form

Overrides:

getVariance in class Distribution

getSD

public double getSD()

Compute the variance in closed form

Overrides:

getSD in class Distribution

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 Distribution

Throws:

ParameterOutOfBoundsException

getPGF

public double getPGF(double t)

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

Overrides:

getPGF in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution