FICE 发表于 2025-3-25 04:10:15

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否决 发表于 2025-3-25 10:49:16

Finite State Markov Chains,es. An integer time process {Xn;n≥0} can also be viewed as a continuous time process {X(t);t≥0} by taking.for n≤t<n+l, but since changes only occur at integer times, it is usually simpler to view the process only at integer times.

退潮 发表于 2025-3-25 14:33:28

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不给啤 发表于 2025-3-25 18:50:04

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狂热文化 发表于 2025-3-25 21:38:19

https://doi.org/10.1007/978-3-642-81808-0g happens as an., and thus we refer to S.as the epoch of the n.arrival, or the n.arrival epoch. In principle, an arrival process can be characterized by a rule specifying the joint distribution functions of {S.,S.,…, S.} for all n≥1, but usually these distribution functions are derived in terms of other random variables.

红润 发表于 2025-3-26 02:29:26

Introduction and Probability Review,arrivals to some system. The arrivals might be incoming jobs for a computer system, arriving packets for a communication system, patients in a health care system, or orders for some merchandising warehouse.

万灵丹 发表于 2025-3-26 05:13:28

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watertight, 发表于 2025-3-26 09:54:55

Textbook 1996 time scale), or are characterized by discreteoccurrences at arbitrary times. .Discrete Stochastic Processes.helps the reader develop the understanding and intuition necessary toapply stochastic process theory in engineering, science and operationsresearch. The book approaches the subject via many s

Adrenal-Glands 发表于 2025-3-26 15:32:42

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平淡而无味 发表于 2025-3-26 19:58:38

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查看完整版本: Titlebook: Discrete Stochastic Processes; Robert G. Gallager Textbook 1996 Springer Science+Business Media New York 1996 Markov Chain.Markov Chains.S