Package jline.lang.processes


package jline.lang.processes
This package contains processes and statistical distributions used to specify arrival rates, service rates, and item popularities
  • Classes
    Class
    Description
    An acyclic phase type distribution
    A Bernoulli distribution for modeling binary random variables.
    A Binomial distribution
    A Batch Markovian Arrival Process (BMAP) BMAP is a point process where arrivals occur in batches.
    An abstract class for continuous distributions
    A Coxian distribution with 2 phases.
    A general Coxian distribution with n phases.
    A Deterministic distribution taking a single constant value.
    A special distribution to denote disabled service or arrival.
    An abstract class for discrete distributions.
    A class for discrete distributions specified from the probability mass function
    A discrete distribution that samples uniformly among a set of elements.
    An abstract class of a general distribution
    A Discrete Markovian Arrival Process (DMAP).
    Empirical CDF for a distribution
    An Erlang-n distribution with n phases.
    An exponential distribution.
    A Gamma distribution.
    A Geometric distribution.
    A Gaussian Mixture Model (GMM) distribution.
    A hyper-exponential distribution.
    An Immediate distribution that always samples 0.
    A Lognormal distribution.
    A Markovian Arrival Process
    An abstract class for marked point processes
    A Marked Markovian Arrival Process
    A class for continuous time Markov chain where transitions are labeled
    A Marked Markov-Modulated Poisson Process (M3PP)
    A class for a discrete time Markov chain
    An abstract class for a Markovian distribution
    An abstract class for a Markov-modulated point-process
    A class for a continuous time Markov chain
    A Matrix Exponential (ME) distribution.
    A Marked Markovian Arrival Process (MMAP) MMAP is a point process where arrivals are categorized into K different types (marks).
    A Markov-Modulated Deterministic Process (MMDP) for fluid queue modeling.
    A 2-state Markov-Modulated Deterministic Process.
    A Markovian-modulated Poisson Process with 2 states
    A multivariate normal (Gaussian) distribution.
    A normal (Gaussian) distribution.
    A Pareto distribution
    A general phase-type (PH) distribution
    A Poisson discrete distribution
    Prior distribution representing parameter uncertainty over alternative distributions.
    An abstract class for stochastic processes
    A Rational Arrival Process (RAP) distribution.
    A distribution that replays empirical data values from trace files.
    Alias for the Replayer class
    A continuous Uniform distribution
    A Weibull distribution
    A Zipf-like probability distribution