Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
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…
Characters, Characterization & Special cases
Explore the main themes, entities and connections around Phase-type distribution. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
distribution phase-type phase distributions phases type process probability erlang exponential state absorbing mixture sequence matrix fitting random stochastic time markov
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Phase-type distribution | CDF | 1 − α e x S 1 {\displaystyle 1-{\boldsymbol {\alpha }}e^{xS}{\boldsymbol {1}}} | 1.00 | infobox |
| Phase-type distribution | CF | − α ( i t I + S ) − 1 S 0 + α 0 {\displaystyle -{\boldsymbol {\alpha }}(itI+S)^{-1}{\boldsymbol {S}}^{0}+\alpha _{0}} | 1.00 | infobox |
| Phase-type distribution | Mean | − α S − 1 1 {\displaystyle -{\boldsymbol {\alpha }}{S}^{-1}\mathbf {1} } | 1.00 | infobox |
| Phase-type distribution | Median | no simple closed form | 1.00 | infobox |
| Phase-type distribution | MGF | − α ( t I + S ) − 1 S 0 + α 0 {\displaystyle -{\boldsymbol {\alpha }}(tI+S)^{-1}{\boldsymbol {S}}^{0}+\alpha _{0}} | 1.00 | infobox |
| Phase-type distribution | Mode | no simple closed form | 1.00 | infobox |
| Phase-type distribution | Parameters | S , m × m {\displaystyle S,\;m\times m} subgenerator matrix α {\displaystyle {\boldsymbol {\alpha }}} , probability row vector | 1.00 | infobox |
| Phase-type distribution | α e x S S 0 {\displaystyle {\boldsymbol {\alpha }}e^{xS}{\boldsymbol {S}}^{0}} See article for details | 1.00 | infobox | |
| Phase-type distribution | Support | x ∈ [ 0 ; ∞ ) {\displaystyle x\in [0;\infty )\!} | 1.00 | infobox |
| Phase-type distribution | Variance | 2 α S − 2 1 − ( α S − 1 1 ) 2 {\displaystyle 2{\boldsymbol {\alpha }}{S}^{-2}\mathbf {1} -({\boldsymbol {\alpha }}{S}^{-1}\mathbf {1} )^{2}} | 1.00 | infobox |
| Phase-type distribution | is a | probability distribution constructed by a convolution or mixture of exponential distributions | 0.90 | text |
| Phase-type distribution | is a | 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 | 0.90 | text |
| Phase-type distribution | is a | exponential distribution of parameter λ | 0.90 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.