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Phase-type distribution

A phase-type distribution is a probability distribution constructed by a convolution or mixture of exponential distributions. It results from a system of one or more inter-related Poisson processes occurring in sequence, or phases. The sequence in which each of the phases occurs may itself be a stochastic process. The distribution can be represented by a…

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Characterization

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Special cases

4 related topics

Definition

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Approximating other distributions

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Key facts & relationships

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CDF
1 − α e x S 1 {\displaystyle 1-{\boldsymbol {\alpha }}e^{xS}{\boldsymbol {1}}}
CF
− α ( i t I + S ) − 1 S 0 + α 0 {\displaystyle -{\boldsymbol {\alpha }}(itI+S)^{-1}{\boldsymbol {S}}^{0}+\alpha _{0}}
Mean
− α S − 1 1 {\displaystyle -{\boldsymbol {\alpha }}{S}^{-1}\mathbf {1} }
Median
no simple closed form
MGF
− α ( t I + S ) − 1 S 0 + α 0 {\displaystyle -{\boldsymbol {\alpha }}(tI+S)^{-1}{\boldsymbol {S}}^{0}+\alpha _{0}}
Mode
no simple closed form

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Overview

Definition

Characterization

Special cases

Approximating other distributions

Fitting a phase type distribution to data

Advanced semantic analysis

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Map overview Semantic statistics

Phase-type distribution

Nodes28
Edges27
Triples75
Avg. degree1.93
Density0.071429
Components1

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Phase-type distribution

Top relations

related to References · 29
Phase-type distribution → Algorithmic Approach, ASA SIAM, Chapter, Characterization, Communication, Communications, Dover Publications Inc, Emeritus, Florin, In Liber Amicorum Prof, Introduction, Latouche, Louvain, Matrix Analytic Methods, Matrix-Geometric Solutions, Neuts, O'Cinneide, Pages, PH Distributions, Phase Type
related to Special cases · 9
Phase-type distribution → Coxian, Degenerate, Deterministic, Erlang, Exponential, Hyperexponential, Hypoexponential, Note, The
related to Approximating other distributions · 8
Phase-type distribution → Any, Approximating, BuTools, Erlang, In, Markovian, Mathematica, MATLAB
related to Fitting a phase type distribution to data · 6
Phase-type distribution → Fitting, HyperStar, It, Java, Methods, PhFit
related to Definition · 4
Phase-type distribution → Consider, Further, Markov, The
is a · 3
Phase-type distribution → distribution of time from the above process's starting until absorption in the absorbing state.This process can be written in the form of a transition rate matrix, exponential distribution of parameter λ, probability distribution constructed by a convolution or mixture of exponential distributions
related to Erlang distribution · 3
Phase-type distribution → For, The Erlang, This
see also · 2
Phase-type distribution → Discrete, Markov
CDF · 1
Phase-type distribution → 1 − α e x S 1 {\displaystyle 1-{\boldsymbol {\alpha }}e^{xS}{\boldsymbol {1}}}
CF · 1
Phase-type distribution → − α ( i t I + S ) − 1 S 0 + α 0 {\displaystyle -{\boldsymbol {\alpha }}(itI+S)^{-1}{\boldsymbol {S}}^{0}+\alpha _{0}}

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Important terminology

distribution phase-type phase distributions phases type process probability erlang exponential state absorbing mixture sequence matrix fitting random stochastic time markov

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Phase-type distributionCDF1 − α e x S 1 {\displaystyle 1-{\boldsymbol {\alpha }}e^{xS}{\boldsymbol {1}}}1.00infobox
Phase-type distributionCF− α ( i t I + S ) − 1 S 0 + α 0 {\displaystyle -{\boldsymbol {\alpha }}(itI+S)^{-1}{\boldsymbol {S}}^{0}+\alpha _{0}}1.00infobox
Phase-type distributionMean− α S − 1 1 {\displaystyle -{\boldsymbol {\alpha }}{S}^{-1}\mathbf {1} }1.00infobox
Phase-type distributionMedianno simple closed form1.00infobox
Phase-type distributionMGF− α ( t I + S ) − 1 S 0 + α 0 {\displaystyle -{\boldsymbol {\alpha }}(tI+S)^{-1}{\boldsymbol {S}}^{0}+\alpha _{0}}1.00infobox
Phase-type distributionModeno simple closed form1.00infobox
Phase-type distributionParametersS , m × m {\displaystyle S,\;m\times m} subgenerator matrix α {\displaystyle {\boldsymbol {\alpha }}} , probability row vector1.00infobox
Phase-type distributionPDFα e x S S 0 {\displaystyle {\boldsymbol {\alpha }}e^{xS}{\boldsymbol {S}}^{0}} See article for details1.00infobox
Phase-type distributionSupportx ∈ [ 0 ; ∞ ) {\displaystyle x\in [0;\infty )\!}1.00infobox
Phase-type distributionVariance2 α S − 2 1 − ( α S − 1 1 ) 2 {\displaystyle 2{\boldsymbol {\alpha }}{S}^{-2}\mathbf {1} -({\boldsymbol {\alpha }}{S}^{-1}\mathbf {1} )^{2}}1.00infobox
Phase-type distributionis aprobability distribution constructed by a convolution or mixture of exponential distributions0.90text
Phase-type distributionis adistribution of time from the above process's starting until absorption in the absorbing state.This process can be written in the form of a transition rate matrix0.90text
Phase-type distributionis aexponential distribution of parameter λ0.90text

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