Uses of Interface
random.Distribution

Packages that use Distribution

Package	Description
NetStrategies.ImpatienceStrategies	Impatience strategies that model customers leaving a queue before being served, either by balking (refusing to join the queue) or reneging (abandoning the queue after joining).
NetStrategies.ServiceStrategies	Service time strategies determining the service time of jobs at a station, including load independent and load dependent service distributions.
NetStrategies.VacationStrategies	Vacation strategies modelling servers that suspend their service for a vacation period, as supported by the extended JSIM simulation engine.
random	Random number generation for the JSIM simulation engine.

Uses of Distribution in NetStrategies.ImpatienceStrategies

Constructors in NetStrategies.ImpatienceStrategies with parameters of type Distribution

Modifier	Constructor	Description
	Reneging(Distribution distribution, Parameter parameter)

Uses of Distribution in NetStrategies.ServiceStrategies

Fields in NetStrategies.ServiceStrategies declared as Distribution

Modifier and Type	Field	Description
protected Distribution	ServiceTimeStrategy.distribution	Service time distribution.

Methods in NetStrategies.ServiceStrategies that return Distribution

Modifier and Type	Method	Description
Distribution	LDParameter.getDistribution()	Gets distribution used to evaluate service time
Distribution	ServiceTimeStrategy.getDistribution()

Methods in NetStrategies.ServiceStrategies with parameters of type Distribution

Modifier and Type	Method	Description
boolean	ServiceTimeStrategy.setDistribution(Distribution distribution)	Sets the distribution.

Constructors in NetStrategies.ServiceStrategies with parameters of type Distribution

Modifier	Constructor	Description
	LDParameter(Integer from, Distribution distr, Parameter parameter)	Construct a new Load Dependent Service Strategy parameter
	LDParameter(Integer from, Distribution distr, Parameter parameter, String function)	Construct a new Load Dependent Service Strategy parameter
	ServiceTimeStrategy(Distribution distribution, Parameter parameter)	Creates a new instance of ServiceTime.

Uses of Distribution in NetStrategies.VacationStrategies

Constructors in NetStrategies.VacationStrategies with parameters of type Distribution

Modifier	Constructor	Description
	BernoulliVacationStrategy(Double p, Distribution vacationTimeDistr, Parameter vacationTimePar)
	VacationWhenIdleStrategy(Integer type, Distribution vacationTimeDistr, Parameter vacationTimePar)

Uses of Distribution in random

Classes in random that implement Distribution

Modifier and Type	Class	Description
class	Batch	This is the Batched distribution.
class	Burst	This is the Burst distribution.
class	CoxianDistr	This is the Coxian distribution.
class	DeterministicDistr	This is the Deterministic distribution, which returns always the same value contained in the parameter.
class	Empirical	This is the Empirical distribution, which is constructed with data provided by the user.
class	Erlang	This is the Erlang distribution.
class	Exponential	This is the Exponential distribution (see the constructor description for its pdf definition).
class	GammaDistr	This is the Gamma distribution (see the constructor description for its pdf definition).
class	HyperExp	This is the Hyperexponential distribution (see the constructor description for details).
class	Lognormal	This is the Lognormal distribution (see the constructor description for its pdf definition).
class	MAPDistr	This is the MAP distribution.
class	MMPP2Distr	This is the MMPP2 distribution.
class	Normal	This is the Normal distribution (see the constructor description for its pdf definition).
class	Pareto	This is the Pareto distribution (see the constructor description for its pdf definition).
class	PhaseTypeDistr	This is the Phase-Type distribution.
class	Poisson	This is the Poisson distribution.
class	Replayer	Replays cyclically data, previously generated, reading them from a file.
class	StudentT	This is the StudentT distribution (see the constructor description for its pdf definition).
class	Uniform	This is the Uniform distribution.This object offers many methods to obtain random value distributed like a uniform.
class	Weibull	This is the Weibull distribution.

Methods in random that return Distribution

Modifier and Type	Method	Description
Distribution	BatchPar.getBase()	Getters and setters
Distribution	BatchPar.getBatchSize()
Distribution	DistributionContainer.getDistribution()	Get the continuous distribution stored in the container
Distribution	BurstPar.getValueDistributionA()	Returns the value distribution A.
Distribution	BurstPar.getValueDistributionB()	Returns the value distribution B.

Methods in random with parameters of type Distribution

Modifier and Type	Method	Description
void	BatchPar.setBase(Distribution base)
void	BatchPar.setBatchSize(Distribution batchSize)
void	BurstPar.setValueDistributionA(Distribution distributionA)	Sets the the value distribution A.
void	BurstPar.setValueDistributionB(Distribution distributionB)	Sets the the value distribution B.