Uses of Class
random.AbstractDistribution

Packages that use AbstractDistribution

Package	Description
random	Random number generation for the JSIM simulation engine.
random.discrete	Discrete probability distributions for the JSIM simulation engine (Bernoulli, binomial, geometric, Poisson, uniform, ...).

Uses of AbstractDistribution in random

Subclasses of AbstractDistribution in random

Modifier and Type	Class	Description
class	Batch	This is the Batched 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.

Uses of AbstractDistribution in random.discrete

Subclasses of AbstractDistribution in random.discrete

Modifier and Type	Class	Description
class	Bernoulli	Bernoulli distribution: returns 1 with probability p and 0 otherwise.
class	Binomial	Binomial distribution: number of successes in n independent trials, each with probability p.
class	DiscreteDistribution	Base class of the discrete probability distributions of the JMT random package.
class	FixProbability	Degenerate discrete distribution that always returns the same value with probability one.
class	Poisson	Poisson distribution, typically used to model arrival processes in the JMT simulation engine.
class	ShiftedGeometric	Shifted geometric distribution: number of trials before the first success, shifted by one.
class	Uniform	Discrete uniform distribution over an interval of integers.
class	Zipf	Zipf distribution, used to model popularity skews in the JMT simulation engine.