edu.ucla.stat.SOCR.distributions
Class WeibullDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class WeibullDistribution
extends Distribution

This class models the Weibull distribution with specified shape and scale parameters. http://mathworld.wolfram.com/WeibullDistribution.html .

Field Summary

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

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

Constructor Summary

WeibullDistribution()
This default constructor creates a new Weibull distribution with shape parameter 1 and scale parameter 1

WeibullDistribution(double k, double b)
This general constructor creates a new Weibull distribution with spcified shape and scale parameters

Method Summary

double	getCDF(double x) This method computes the cumulative distribution function
double	getDensity(double x) This method compues teh denstiy function
double	getFailureRate(double x) This method computes the failure rate function
double	getMaxDensity() This method returns the maximum value of the getDensity function
double	getMean() The method returns the mean
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getQuantile(double p) This method returns the getQuantile function
double	getScale() This method returns the scale parameter
double	getShape() This method returns the shape parameter
double	getVariance() This method returns the variance
void	initialize() used for some subclass to initialize before being used
void	setParameters(double k, double b) This method sets the shape and scale parameter.
void	setScale(double b) This method sets the shape parameter
void	setShape(double k) This method sets the shape parameter
void	valueChanged()

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

addObserver, betaCDF, comb, factorial, findGFRoot, findRoot, gamma, gammaCDF, getDisplayPane, getDomain, getGFDerivative, getGFSecondDerivative, getInstance, getLocalHelp, getMean, getMedian, getMGF, 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, 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

WeibullDistribution

public WeibullDistribution(double k,
                           double b)

This general constructor creates a new Weibull distribution with spcified shape and scale parameters

WeibullDistribution

public WeibullDistribution()

This default constructor creates a new Weibull distribution with shape parameter 1 and scale parameter 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()

Overrides:

valueChanged in class Distribution

setParameters

public void setParameters(double k,
                          double b)

This method sets the shape and scale parameter. The normalizing constant is computed and the default interval defined

getDensity

public double getDensity(double x)

This method compues teh denstiy function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

This method returns the maximum value of the getDensity function

Overrides:

getMaxDensity in class Distribution

getMean

public double getMean()

The method returns the mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

This method returns 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

getQuantile

public double getQuantile(double p)

This method returns the getQuantile function

Overrides:

getQuantile in class Distribution

getFailureRate

public double getFailureRate(double x)

This method computes the failure rate function

Overrides:

getFailureRate in class Distribution

getShape

public double getShape()

This method returns the shape parameter

setShape

public void setShape(double k)

This method sets the shape parameter

getScale

public double getScale()

This method returns the scale parameter

setScale

public void setScale(double b)

This method sets the shape parameter

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution