Package | Description |
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jphase |
This package provides capabilities for modeling Phase type distributions.
|
jphase.fit |
Provides capabilities for fitting Phase type distribution parameters
from data.
|
Modifier and Type | Method and Description |
---|---|
static DenseContPhaseVar |
DenseContPhaseVar.Coxian(int n,
double[] lambdas,
double[] probs)
Constructs a Phase-Type representation of a Coxian
distribution with n phases
|
static DenseContPhaseVar |
DenseContPhaseVar.Erlang(double lambda,
int n)
Constructs a Phase-Type representation of an Erlang
distribution with rate lambda and n exponential phases
|
static DenseContPhaseVar |
DenseContPhaseVar.ErlangCoxian(int n,
double p,
double lambdaY,
double lambdaX1,
double lambdaX2,
double px)
Constructs a Phase-Type representation of an ErlangCoxian
distribution as defined by Osogami and Harchol in "Closed
form solutions for mapping general distributions to
quasi-minimal PH distributions", 2005.
|
static DenseContPhaseVar |
DenseContPhaseVar.expo(double lambda)
Constructs a Phase-Type representation of an Exponential
distribution with rate lambda
|
static DenseContPhaseVar |
DenseContPhaseVar.HipoExponential(double[] lambdas) |
static DenseContPhaseVar |
DenseContPhaseVar.HyperErlang(HyperErlangVar var)
Constructs a Phase-Type representation of a Hyper-Erlang
distribution from a Dense representation of the same
distribution
|
static DenseContPhaseVar |
DenseContPhaseVar.HyperErlang(int k,
double[] lambdas,
int[] n,
double[] probs)
Constructs a Phase-Type representation of a Hyper-Erlang
distribution with k erlang branches, its k rates and n number
of phases per branch
|
static DenseContPhaseVar |
DenseContPhaseVar.HyperExpo(double[] lambdas,
double[] probs)
Constructs a Phase Distribution that represents
a HyperExponential distribution with the especified parameters
|
Modifier and Type | Method and Description |
---|---|
DenseContPhaseVar |
EMPhaseFit.fit() |
DenseContPhaseVar |
EMHyperExpoFit.fit() |