edu.ucla.stat.SOCR.distributions

Class BirthdayDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.BirthdayDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class BirthdayDistribution
extends Distribution

This class models the distribution of the number of distinct sample values when a sample of a specified size is chosen with replacement from a finite population of a specified size.

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
BirthdayDistribution() This default constructor creates a new birthday distribution with population size 365 and sample size 20
BirthdayDistribution(int n, int k)

Method Summary

Methods

Modifier and Type	Method and Description
double	getDensity(double x) This method computes the getDensity function
double	getMean() This method computes the mean
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getPopSize() This method returns the population size
double	getSampleSize() This method returns the sample size
double	getVariance() This method computes the variance
void	initialize() used for some subclass to initialize before being used
void	setParameters(int n, int k) This method sets the parameters: the population size and the sample size.
void	setPopSize(int n) This method sets the population size
void	setSampleSize(int k) This method sets the sample size
double	simulate() This method simulates a value from the distribution, as the number of distinct sample values
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, getMaxDensity, 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

Constructor Detail

BirthdayDistribution

public BirthdayDistribution()

This default constructor creates a new birthday distribution with population size 365 and sample size 20

BirthdayDistribution

public BirthdayDistribution(int n,
                    int k)

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(int n,
                 int k)

This method sets the parameters: the population size and the sample size. Also, the probabilities are computed and stored in an array

getDensity

public double getDensity(double x)

This method computes the getDensity function

Specified by:

getDensity 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

getPopSize

public double getPopSize()

This method returns the population size

setPopSize

public void setPopSize(int n)

This method sets the population size

getSampleSize

public double getSampleSize()

This method returns the sample size

setSampleSize

public void setSampleSize(int k)

This method sets the sample size

simulate

public double simulate()

This method simulates a value from the distribution, as the number of distinct sample values

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