edu.ucla.stat.SOCR.distributions
Class LogarithmicSeriesDistribution

java.lang.Object
  extended by edu.ucla.stat.SOCR.core.SOCRValueSettable
      extended by edu.ucla.stat.SOCR.core.Distribution
          extended by 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
LogarithmicSeriesDistribution()
          Default constructor: creates a default Logarithmic Series distribution
LogarithmicSeriesDistribution(double a)
           
LogarithmicSeriesDistribution(double[] distData)
           
LogarithmicSeriesDistribution(float[] distData)
           
 
Method Summary
 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