Interface Distribution

All Superinterfaces:

StorableDistribution

All Known Implementing Classes:

Batch, Burst, CoxianDistr, DeterministicDistr, Empirical, Erlang, Exponential, GammaDistr, HyperExp, Lognormal, MAPDistr, MMPP2Distr, Normal, Pareto, PhaseTypeDistr, Poisson, Replayer, StudentT, Uniform, Weibull

public interface Distribution
extends StorableDistribution

This is the Distribution abstract class, which is the interface of all distributions.

Copyright (c) 2003
Politecnico di Milano - dipartimento di Elettronica e Informazione

Author:

Federico Granata (modified by Fabrizio Frontera), Modified by Stefano Omini, 7/5/2004

Method Summary

Modifier and Type	Method	Description
double	cdf(double x, Parameter p)	This method is used to obtain from the distribution its cumulative distribution function evaluated where required by the user.
double	nextRand(Parameter p)	This method is used to ask all the distribution to return a new random number distributed according to the distribution name.
double	pdf(double x, Parameter p)	This method is used to obtain from the distribution its probability distribution function evaluated where required by the user.
void	setRandomEngine(RandomEngine engine)
double	theorMean(Parameter p)	This method is used to obtain from the distribution the value of its own theoretic mean.
double	theorVariance(Parameter p)	This method is used to obtain from the distribution the value of its own theoretic variance.

Method Details

nextRand

double nextRand(Parameter p)
         throws IncorrectDistributionParameterException

This method is used to ask all the distribution to return a new random number distributed according to the distribution name.

Parameters:

p - parameter of the distribution.

Returns:

double with the next random number from the sequence.

Throws:

IncorrectDistributionParameterException

pdf

double pdf(double x,
 Parameter p)
    throws IncorrectDistributionParameterException

This method is used to obtain from the distribution its probability distribution function evaluated where required by the user.

Parameters:

x - double indicating where to evaluate the pdf.

p - parameter of the distribution.

Returns:

double with the probability distribution function evaluated in x.

Throws:

IncorrectDistributionParameterException

cdf

double cdf(double x,
 Parameter p)
    throws IncorrectDistributionParameterException

This method is used to obtain from the distribution its cumulative distribution function evaluated where required by the user.

Parameters:

x - double indicating where to evaluate the cdf.

p - parameter of the distribution.

Returns:

double with the cumulative distribution function evaluated in x.

Throws:

IncorrectDistributionParameterException

theorMean

double theorMean(Parameter p)
          throws IncorrectDistributionParameterException

This method is used to obtain from the distribution the value of its own theoretic mean.

Parameters:

p - parameter of the distribution.

Returns:

double with the theoretic mean of the distribution.

Throws:

IncorrectDistributionParameterException

theorVariance

double theorVariance(Parameter p)
              throws IncorrectDistributionParameterException

This method is used to obtain from the distribution the value of its own theoretic variance.

Parameters:

p - parameter of the distribution.

Returns:

double with the theoretic variance of the distribution.

Throws:

IncorrectDistributionParameterException

setRandomEngine

void setRandomEngine(RandomEngine engine)