edu.ucla.stat.SOCR.distributions

Class MinimaxDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.MinimaxDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class MinimaxDistribution
extends Distribution

A Java implmentation of the Minimax distribution with specified left(alpha) and right(Minimax) parameters http://mathworld.wolfram.com/topics/ContinuousDistributions.html .

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
MinimaxDistribution() Default constructor: creates a Minimax distribution with left and right parameters equal to 1
MinimaxDistribution(double b, double g)

Method Summary

Methods

Modifier and Type	Method and Description
double	getBeta() Get the left paramter
double	getDensity(double x) Define the Minimax getDensity function
double	getGamma() Get the right parameter
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
void	initialize() used for some subclass to initialize before being used
void	setBeta(double b) Sets the left parameter
void	setGamma(double g) Sets the right parameter
void	setParameters(double b, double g) Set the parameters, compute the normalizing constant c, and specifies the interval and partition
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, getMaxDensity, getMean, getMean, getMedian, getMGF, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, getVariance, inverseCDF, logGamma, paramEstimate, 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

MinimaxDistribution

public MinimaxDistribution()

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

MinimaxDistribution

public MinimaxDistribution(double b,
                   double g)

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 b,
                 double g)

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

setBeta

public void setBeta(double b)

Sets the left parameter

setGamma

public void setGamma(double g)

Sets the right parameter

getBeta

public double getBeta()

Get the left paramter

getGamma

public double getGamma()

Get the right parameter

getDensity

public double getDensity(double x)

Define the Minimax getDensity function

Specified by:

getDensity in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution