edu.ucla.stat.SOCR.distributions
Class NormalTruncatedDistribution

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

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class NormalTruncatedDistribution
extends Distribution

This class encapsulates the Truncated Normal distribution with specified parameters: (mean, SD, leftSupportLimit, rightSupportLimit) http://en.wikipedia.org/wiki/Truncated_normal_distribution .

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

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

NormalTruncatedDistribution(double[] distData)

NormalTruncatedDistribution(double[] distData, boolean calledByModeler)

NormalTruncatedDistribution(double mu, double sigma, double _left, double _right)
This general constructor creates a new normal distribution with specified parameter values

NormalTruncatedDistribution(double mu, double sigma, double _left, double _right, boolean calledByModeler)

NormalTruncatedDistribution(float[] distData)

NormalTruncatedDistribution(float[] distData, boolean calledByModeler)

Method Summary

double	getDensity(double x) This method defines the getDensity function
double	getLeftSupportLimit() This method gets the leftSupportLimit parameter
double	getMaxDensity() This method returns the maximum value of the getDensity function
double	getMean() These methods return the mean
double	getMu() This method returns the location parameter
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getRightSupportLimit() This method gets the rightSupportLimit parameter
double	getSigma() This method gets the scale parameter
double	getVariance() These methods return the variance
void	initialize() used for some subclass to initialize before being used
void	paramEstimate(double[] distData)
void	setLeftSupportLimit(double left) This method sets the leftSupportLimit parameter
void	setMu(double m) This method sets the location parameter
void	setParameters(double m, double s, double _left, double _right) This method sets the parameters
void	setRightSupportLimit(double right) This method sets the rightSupportLimit parameter
void	setSigma(double s) This method sets the scale parameter
void	valueChanged()

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

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

Field Detail

C

public static final double C

Constructor Detail

NormalTruncatedDistribution

public NormalTruncatedDistribution(double mu,
                                   double sigma,
                                   double _left,
                                   double _right)

This general constructor creates a new normal distribution with specified parameter values

NormalTruncatedDistribution

public NormalTruncatedDistribution(double[] distData)

NormalTruncatedDistribution

public NormalTruncatedDistribution(float[] distData)

NormalTruncatedDistribution

public NormalTruncatedDistribution(double mu,
                                   double sigma,
                                   double _left,
                                   double _right,
                                   boolean calledByModeler)

NormalTruncatedDistribution

public NormalTruncatedDistribution(double[] distData,
                                   boolean calledByModeler)

NormalTruncatedDistribution

public NormalTruncatedDistribution(float[] distData,
                                   boolean calledByModeler)

NormalTruncatedDistribution

public NormalTruncatedDistribution()

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

paramEstimate

public void paramEstimate(double[] distData)

Overrides:

paramEstimate in class Distribution

setParameters

public void setParameters(double m,
                          double s,
                          double _left,
                          double _right)

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

getMean

public double getMean()

These methods return the mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

These methods return the variance

Overrides:

getVariance 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

getLeftSupportLimit

public double getLeftSupportLimit()

This method gets the leftSupportLimit parameter

setLeftSupportLimit

public void setLeftSupportLimit(double left)

This method sets the leftSupportLimit parameter

getRightSupportLimit

public double getRightSupportLimit()

This method gets the rightSupportLimit parameter

setRightSupportLimit

public void setRightSupportLimit(double right)

This method sets the rightSupportLimit parameter

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution