Uses of Class
jline.lang.processes.ContinuousDistribution

Packages that use ContinuousDistribution

Package	Description
jline.lang	Abstractions to declare basic elements of a model.
jline.lang.processes	This package contains processes and statistical distributions used to specify arrival rates, service rates, and item popularities

Uses of ContinuousDistribution in jline.lang

Fields in jline.lang declared as ContinuousDistribution

Modifier and Type	Field	Description
final ContinuousDistribution[][]	Environment.env

Uses of ContinuousDistribution in jline.lang.processes

Subclasses of ContinuousDistribution in jline.lang.processes

Modifier and Type	Class	Description
class	APH	An acyclic phase type distribution
class	BMAP	A Batch Markovian Arrival Process (BMAP) BMAP is a point process where arrivals occur in batches.
class	Cox2	A Coxian distribution with 2 phases.
class	Coxian	A general Coxian distribution with n phases.
class	DMAP	A Discrete Markovian Arrival Process (DMAP).
class	Erlang	An Erlang-n distribution with n phases.
class	Exp	An exponential distribution.
class	Gamma	A Gamma distribution.
class	GMM	A Gaussian Mixture Model (GMM) distribution.
class	HyperExp	A hyper-exponential distribution.
class	Lognormal	A Lognormal distribution.
class	MAP	A Markovian Arrival Process
class	Marked	An abstract class for marked point processes
class	MarkedMAP	A Marked Markovian Arrival Process
class	MarkedMMPP	A Marked Markov-Modulated Poisson Process (M3PP)
class	Markovian	An abstract class for a Markovian distribution
class	MarkovModulated	An abstract class for a Markov-modulated point-process
class	ME	A Matrix Exponential (ME) distribution.
class	MMAP	A Marked Markovian Arrival Process (MMAP) MMAP is a point process where arrivals are categorized into K different types (marks).
class	MMDP	A Markov-Modulated Deterministic Process (MMDP) for fluid queue modeling.
class	MMDP2	A 2-state Markov-Modulated Deterministic Process.
class	MMPP2	A Markovian-modulated Poisson Process with 2 states
class	MultivariateNormal	A multivariate normal (Gaussian) distribution.
class	Normal	A normal (Gaussian) distribution.
class	Pareto	A Pareto distribution
class	PH	A general phase-type (PH) distribution
class	RAP	A Rational Arrival Process (RAP) distribution.
class	Uniform	A continuous Uniform distribution
class	Weibull	A Weibull distribution