Uses of Class
random.AbstractParameter

Packages that use AbstractParameter
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 AbstractParameter in random

    Subclasses of AbstractParameter in random
    Modifier and Type
    Class
    Description
    class 
    BatchPar
    This is the parameter that should be passed to the Batched distribution.
    class 
    BurstPar
    This is the parameter that should be passed to the Burst distribution.
    class 
    CoxianPar
    This is the parameter that should be passed to the Coxian distribution.
    class 
    DeterministicDistrPar
    This is the parameter that should be passed to the Deterministic distribution.
    class 
    EmpiricalPar
    This is the parameter that should be passed to the empirical distribution.
    class 
    ErlangPar
    This is the parameter that should be passed to the Erlang distribution.
    class 
    ExponentialPar
    This is the parameter that should be passed to the Exponential distribution.
    class 
    GammaDistrPar
    This is the parameter that should be passed to the Gamma distribution.
    class 
    HyperExpPar
    This is the parameter that should be passed to the Hyperexponential distribution.
    class 
    LognormalPar
    This is the parameter that should be passed to the Normal distribution.
    class 
    MAPPar
    This is the parameter that should be passed to the MAP distribution.
    class 
    MMPP2Par
    This is the parameter that should be passed to the MMPP2 distribution.
    class 
    NormalPar
    This is the parameter that should be passed to the Normal distribution.
    class 
    ParetoPar
    This is the parameter that should be passed to the Pareto distribution.
    class 
    PhaseTypePar
    This is the parameter that should be passed to the Phase-Type distribution.
    class 
    PoissonPar
    This is the parameter that should be passed to the Poisson distribution.
    class 
    ReplayerPar
    Manages the file containing numbers (previously generated).
    class 
    StudentTPar
    This is the parameter that should be passed to the StudentT distribution.
    class 
    UniformPar
    This is the parameter that should be passed to the Uniform distribution.
    class 
    WeibullPar
    This is the parameter that should be passed to the Weibull distribution.

  • Uses of AbstractParameter in random.discrete

    Subclasses of AbstractParameter in random.discrete
    Modifier and Type
    Class
    Description
    class 
    BernoulliPar
    Parameters of the Bernoulli distribution.
    class 
    BinomialPar
    Parameters of the binomial distribution.
    class 
    ShiftedGeometricPar
    Parameters of the shifted geometric distribution.
    class 
    UniformPar
    Parameters of the discrete uniform distribution.
    class 
    ZipfPar
    Parameters of the Zipf distribution.