Package jline.lang.processes

Class DiscreteDistribution

java.lang.Object

jline.lang.processes.Distribution

jline.lang.processes.DiscreteDistribution

All Implemented Interfaces:

Serializable, Copyable

Direct Known Subclasses:

Bernoulli, Binomial, DiscreteSampler, DiscreteUniform, Geometric, Poisson, Zipf

public abstract class DiscreteDistribution
extends Distribution
implements Serializable

An abstract class for discrete distributions.

See Also:

• Serialized Form

Field Summary

Fields inherited from class jline.lang.processes.Distribution

immediate, mean, name, numParam, params, support

Constructor Summary

Constructors

Constructor	Description
DiscreteDistribution(String name, int numParam, Pair<Double,Double> support)

Method Summary

Modifier and Type	Method	Description
double	evalLST(double s)	Evaluate the Laplace-Stieltjes Transform at s For discrete distributions, this is the probability generating function evaluated at e^(-s)
double	evalPMF(double k)
double[]	evalPMF(double[] k)
Matrix	evalPMF(List<Double> t)

Methods inherited from class jline.lang.processes.Distribution

evalCDF, evalProbInterval, getMean, getName, getNumParams, getParam, getRate, getSCV, getSkewness, getSupport, getVar, isContinuous, isDisabled, isDiscrete, isImmediate, isMarkovian, mean, name, numParams, param, rate, sample, sample, scv, setNumParams, setParam, skewness, support, var

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface jline.lang.Copyable

copy

Constructor Details

DiscreteDistribution

public DiscreteDistribution(String name,
 int numParam,
 Pair<Double,Double> support)

Method Details

evalPMF

public double evalPMF(double k)

evalPMF

public double[] evalPMF(double[] k)

evalPMF

public Matrix evalPMF(List<Double> t)

evalLST

public double evalLST(double s)

Evaluate the Laplace-Stieltjes Transform at s For discrete distributions, this is the probability generating function evaluated at e^(-s)

Specified by:

evalLST in class Distribution

Parameters:

s - the Laplace domain variable

Returns:

the LST value at s