Semi-Markov Process: Stochastic Process, Random Variable, Distribution Function, Exponential Distribution, Continuous- time Markov Process -
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High Quality Content by WIKIPEDIA articles! A continuous-time stochastic process is called a semi-Markov process or 'Markov renewal process' if the embedded jump chain (the discrete process registering what values the process takes) is a Markov Chain, and where the holding times (time between jumps) are random variables with any distribution, whose distribution function may depend on the two states between ... Visas aprašymas
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| Leidėjas | OmniScriptum |
|---|---|
| Išleidimo metai | 2026 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9786130492298 |