edu.ucla.stat.SOCR.distributions

Class TriangleDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.TriangleDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class TriangleDistribution
extends Distribution

This class models the Triangular distribution on a specified interval. If (X, Y) is Uniformly distributed on a triangular region, then X and Y have triangular distribuitons. http://mathworld.wolfram.com/TriangularDistribution.html .

Field Summary

Fields

Modifier and Type	Field and Description
static int	DOWN
static int	UP

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

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

Constructor Summary

Constructors

Constructor and Description
TriangleDistribution() This default constructor creates a new triangle distribution on the interval (0, 1) with positive slope
TriangleDistribution(double a, double b, int i) This general constructor creates a new triangle distribution on a specified interval and with a specified orientation.

Method Summary

Methods

Modifier and Type	Method and Description
double	getCDF(double x) This method computes the cumulative distribution function.
double	getDensity(double x) The getDensity method is abstract and must be overridden for any specific distribuiton
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	getMinValue() This method returns the minimum value.
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
int	getOrientation() This method returns the orientation.
double	getVariance() This method computes the variance.
void	initialize() used for some subclass to initialize before being used
void	setParameters(double a, double b, int i) This method sets the parameters: the minimum value, maximum value, and orientation.
double	simulate() This method simulates a value from the distribution.
void	valueChanged()

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, getMGF, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, 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

Field Detail

UP

public static final int UP

See Also:

Constant Field Values

DOWN

public static final int DOWN

See Also:

Constant Field Values

Constructor Detail

TriangleDistribution

public TriangleDistribution(double a,
                    double b,
                    int i)

This general constructor creates a new triangle distribution on a specified interval and with a specified orientation.

TriangleDistribution

public TriangleDistribution()

This default constructor creates a new triangle distribution on the interval (0, 1) with positive slope

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,
                 double b,
                 int i)

This method sets the parameters: the minimum value, maximum value, and orientation.

getDensity

public double getDensity(double x)

Description copied from class: Distribution

The getDensity method is abstract and must be overridden for any specific distribuiton

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

getMinValue

public double getMinValue()

This method returns the minimum value.

getMaxValue

public double getMaxValue()

This method returns the maximum value.

getOrientation

public int getOrientation()

This method returns the orientation.

simulate

public double simulate()

This method simulates a value from the distribution.

Overrides:

simulate in class Distribution

getCDF

public double getCDF(double x)

This method computes the cumulative distribution function.

Overrides:

getCDF in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution