edu.ucla.stat.SOCR.distributions
Class UQuadraticDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class UQuadraticDistribution
extends Distribution

This class models the Quadratic U distribution on a specified interval. http://wiki.stat.ucla.edu/socr/index.php/UQuadraticDistribuionAbout .

Field Summary

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

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

Constructor Summary

UQuadraticDistribution()
This default constructor creates a new U Quadratic distribuiton on (0, 1).

UQuadraticDistribution(double a, double b)
This general constructor creates a new uniform distribution on a specified interval.

UQuadraticDistribution(float[] distData)
This a constructor that creates a new U Quadratic distribuiton model based on an array of data.

Method Summary

double	getAlpha() This method returns the ALPHA value.
double	getBeta() This method returns the BETA value.
double	getCDF(double x) This method computes the cumulative distribution function.
double	getDensity(double x) This method computes the density function.
double	getMaxDensity() This method computes the maximum value of the getDensity function.
double	getMaxValue() This method returns the maximum value.
double	getMean() This method computes the mean.
double	getMedian() This method computes the median.
double	getMinValue() This method gets the minimum value.
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getVariance() This method computes the variance.
void	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData) This method estimates the parameters of this distribution.
void	setParameters(double a, double b) This method sets the parameters: the minimum and maximum values of the interval.
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, 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

UQuadraticDistribution

public UQuadraticDistribution(double a,
                              double b)

This general constructor creates a new uniform distribution on a specified interval.

UQuadraticDistribution

public UQuadraticDistribution()

This default constructor creates a new U Quadratic distribuiton on (0, 1).

UQuadraticDistribution

public UQuadraticDistribution(float[] distData)

This a constructor that creates a new U Quadratic distribuiton model based on an array of data.

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 a,
                          double b)

This method sets the parameters: the minimum and maximum values of the interval.

getDensity

public double getDensity(double x)

This method computes the density 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

getMedian

public double getMedian()

This method computes the median.

Overrides:

getMedian in class Distribution

getVariance

public double getVariance()

This method computes the variance. Var(X) = E(X^2) - mu^2.

Overrides:

getVariance in class Distribution

getCDF

public double getCDF(double x)

This method computes the cumulative distribution function.

Overrides:

getCDF in class Distribution

getMinValue

public double getMinValue()

This method gets the minimum value.

getMaxValue

public double getMaxValue()

This method returns the maximum value.

getAlpha

public double getAlpha()

This method returns the ALPHA value.

getBeta

public double getBeta()

This method returns the BETA value.

paramEstimate

public void paramEstimate(double[] distData)

This method estimates the parameters of this distribution.

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