edu.ucla.stat.SOCR.distributions

Class ContinuousUniformDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class ContinuousUniformDistribution
extends Distribution

This class models the uniform distribution on a specified interval. http://mathworld.wolfram.com/UniformDistribution.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
ContinuousUniformDistribution() This default constructor creates a new uniform distribuiton on (0, 1).
ContinuousUniformDistribution(double a, double b) This general constructor creates a new uniform distribution on a specified interval.

Method Summary

Methods

Modifier and Type	Method and Description
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	getMGF(double t) Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
double	getMinValue() This method gets the minimum value.
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getQuantile(double p) This method computes the getQuantile function.
double	getVariance() This method computes the variance.
void	initialize() used for some subclass to initialize before being used
void	setParameters(double a, double b) This method sets the parameters: the minimum and maximum values of the interval.
double	simulate() This method simulates a value from the distribution.
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, getMedian, getMgfDomain, getName, getPGF, getPGFDomain, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, inverseCDF, logGamma, paramEstimate, perm, sampleMean, sampleVar, setApplet, setDomain, setDomain, setMGFDomain, setMGFDomain, setMGFParameters, setMGFParameters, setMGFParameters, setMGFParameters, setParameters, setPGFDomain, setPGFDomain, setPGFParameters, setPGFParameters, setPGFParameters, setPGFParameters, 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

ContinuousUniformDistribution

public ContinuousUniformDistribution(double a,
                             double b)

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

ContinuousUniformDistribution

public ContinuousUniformDistribution()

This default constructor creates a new uniform distribuiton on (0, 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 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

getVariance

public double getVariance()

This method computes the variance.

Overrides:

getVariance in class Distribution

getCDF

public double getCDF(double x)

This method computes the cumulative distribution function.

Overrides:

getCDF in class Distribution

getMGF

public double getMGF(double t)

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

getQuantile

public double getQuantile(double p)

This method computes the getQuantile function.

Overrides:

getQuantile in class Distribution

getMinValue

public double getMinValue()

This method gets the minimum value.

getMaxValue

public double getMaxValue()

This method returns the maximum value.

simulate

public double simulate()

This method simulates a value from the distribution.

Overrides:

simulate in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution