Package jline.lang.processes

Class ContinuousDistribution

java.lang.Object

jline.lang.processes.Distribution

jline.lang.processes.ContinuousDistribution

All Implemented Interfaces:

Serializable, Copyable

Direct Known Subclasses:

Gamma, GMM, Lognormal, Markovian, MultivariateNormal, Normal, Pareto, Uniform, Weibull

public abstract class ContinuousDistribution
extends Distribution
implements Serializable

An abstract class for continuous 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
ContinuousDistribution(String name, int numParam, Pair<Double,Double> support)

Method Summary

Modifier and Type	Method	Description
abstract double	evalLST(double s)	Evaluate the Laplace-Stieltjes Transform at s
abstract MatrixCell	getProcess()	Gets the process representation with actual distribution parameters.

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

ContinuousDistribution

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

Method Details

evalLST

public abstract double evalLST(double s)

Description copied from class: Distribution

Evaluate the Laplace-Stieltjes Transform at s

Specified by:

evalLST in class Distribution

Parameters:

s - the Laplace domain variable

Returns:

the LST value at s

getProcess

public abstract MatrixCell getProcess()

Gets the process representation with actual distribution parameters. Returns a MatrixCell containing the distribution parameters.

Returns:

MatrixCell with distribution-specific parameters