edu.ucla.stat.SOCR.distributions
Class TwoSidedPowerDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class TwoSidedPowerDistribution
extends Distribution

A Java implementation of the (Two-Sided POwer (TSP) Distribution with specified: left, right, mean and power parameters http://www.springerlink.com/content/u71g0104356x70u1/ .

Field Summary

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

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

Constructor Summary

TwoSidedPowerDistribution()
Default constructor: creates a beta distribution with left and right parameters equal to 1

TwoSidedPowerDistribution(double l, double r, double m, double p)

Method Summary

double	getDensity(double x) Define the TSP Density function
double	getLeft() ----------------------------------GET--------------------------
double	getMaxDensity() Compute the maximum getDensity
double	getMean() Compute the mean in closed form
double	getMed() Get the left LIMIT
double	getMedian() This method computes a default approximate median.
double	getMode() Compute the Mode
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getPower() Get the right LIMIT
double	getRight() Get the right parameter
double	getVariance() Compute the variance in closed form
void	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData) HOW SHOULD THESE PARAMETERS be estimated?????
void	setLeft(double l) Sets the left parameter
void	setMed(double m) Sets the med parameter
void	setParameters(double l, double r, double m, double p) Set the parameters, compute the normalizing constant c, and specifies the all 4 parameters
void	setPower(double p) Sets the power
void	setRight(double r) Sets the right parameter
void	valueChanged(java.util.Observable o, java.lang.Object arg)

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, 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, 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

TwoSidedPowerDistribution

public TwoSidedPowerDistribution(double l,
                                 double r,
                                 double m,
                                 double p)

TwoSidedPowerDistribution

public TwoSidedPowerDistribution()

Default constructor: creates a beta distribution with left and right parameters equal to 1

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(java.util.Observable o,
                         java.lang.Object arg)

Overrides:

valueChanged in class Distribution

setParameters

public void setParameters(double l,
                          double r,
                          double m,
                          double p)

Set the parameters, compute the normalizing constant c, and specifies the all 4 parameters

setLeft

public void setLeft(double l)

Sets the left parameter

setRight

public void setRight(double r)

Sets the right parameter

setMed

public void setMed(double m)

Sets the med parameter

setPower

public void setPower(double p)

Sets the power

getLeft

public double getLeft()

----------------------------------GET--------------------------

getRight

public double getRight()

Get the right parameter

getMed

public double getMed()

Get the left LIMIT

getPower

public double getPower()

Get the right LIMIT

getDensity

public double getDensity(double x)

Define the TSP Density function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

Compute the maximum getDensity

Overrides:

getMaxDensity in class Distribution

getMode

public double getMode()

Compute the Mode

getMedian

public double getMedian()

Description copied from class: Distribution

This method computes a default approximate median. This method should be overriden when there is a closed form expression for the median.

Overrides:

getMedian in class Distribution

getMean

public double getMean()

Compute the mean in closed form

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

Compute the variance in closed form

Overrides:

getVariance in class Distribution

paramEstimate

public void paramEstimate(double[] distData)

HOW SHOULD THESE PARAMETERS be estimated?????

Overrides:

paramEstimate in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution