edu.ucla.stat.SOCR.distributions

Class CouponDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.CouponDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class CouponDistribution
extends Distribution

This class models the distribution of the sample size needed to get a specified number of distinct sample values when sampling with replacement from a finite population of a specified size: http://www.math.uah.edu/stat/urn/Coupon.xhtml

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
CouponDistribution() This general constructor creates a new coupon distribution with population size 10 and distinct sample size 10.
CouponDistribution(int m, int k) This general constructor: creates a new coupon distribution with specified population size and distinct sample size.

Method Summary

Methods

Modifier and Type	Method and Description
double	getDensity(double x) Density function
double	getDistinctValues() Get the number of distinct values
double	getMean() Mean
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getPopSize() Get the population size
double	getVariance() Variance
void	initialize() used for some subclass to initialize before being used
void	setDistinctValues(int k) Set the number of distinct values
void	setParameters(int m, int k) This method sets the parameters: the population size (m) and number of distinct values needed (k)
void	setPopSize(int m) Set the population size
double	simulate() Simulate 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, 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

CouponDistribution

public CouponDistribution(int m,
                  int k)

This general constructor: creates a new coupon distribution with specified population size and distinct sample size.

CouponDistribution

public CouponDistribution()

This general constructor creates a new coupon distribution with population size 10 and distinct sample size 10.

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 m,
                 int k)

This method sets the parameters: the population size (m) and number of distinct values needed (k)

getDensity

public double getDensity(double x)

Density function

Specified by:

getDensity in class Distribution

getMean

public double getMean()

Mean

Overrides:

getMean in class Distribution

getVariance

public double getVariance()

Variance

Overrides:

getVariance in class Distribution

getPopSize

public double getPopSize()

Get the population size

setPopSize

public void setPopSize(int m)

Set the population size

getDistinctValues

public double getDistinctValues()

Get the number of distinct values

setDistinctValues

public void setDistinctValues(int k)

Set the number of distinct values

simulate

public double simulate()

Simulate a value from the distribution

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