edu.ucla.stat.SOCR.distributions
Class HalfNormalDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class HalfNormalDistribution
extends Distribution

This class models the Half-Normal distribution with specified starting and SD parameters. A normal distribution with mean (starting) and standard deviation SD limited to the domain [0:Infinity]. http://mathworld.wolfram.com/Half-NormalDistribution.html .

Field Summary

static double

C

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

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

Constructor Summary

HalfNormalDistribution()
This default constructor creates a new standard normal distribution

HalfNormalDistribution(double mu, double sigma)
This general constructor creates a new Half-Normal distribution with specified parameter values

Method Summary

double	getCDF(double x) This method computes the cumulative distribution function
double	getDensity(double x) This method defines the getDensity function
double	getMaxDensity() This method returns the maximum value of the getDensity function
double	getMu() This method returns the location parameter
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getSigma() This method gets the scale parameter
void	initialize() used for some subclass to initialize before being used
void	setMu(double m) This method sets the location parameter
void	setParameters(double m, double s) This method sets the parameters
void	setSigma(double s) This method sets the scale parameter
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, 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, 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

C

public static final double C

Constructor Detail

HalfNormalDistribution

public HalfNormalDistribution(double mu,
                              double sigma)

This general constructor creates a new Half-Normal distribution with specified parameter values

HalfNormalDistribution

public HalfNormalDistribution()

This default constructor creates a new standard normal distribution

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 m,
                          double s)

This method sets the parameters

getDensity

public double getDensity(double x)

This method defines the getDensity 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

simulate

public double simulate()

This method simulates a value from the distribution

Overrides:

simulate in class Distribution

getMu

public double getMu()

This method returns the location parameter

setMu

public void setMu(double m)

This method sets the location parameter

getSigma

public double getSigma()

This method gets the scale parameter

setSigma

public void setSigma(double s)

This method sets the scale parameter

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