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Titlebook: Applied Probability and Stochastic Processes; J. G. Shanthikumar,Ushio Sumita Book 1999 Springer Science+Business Media New York 1999 Anal

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樓主: polysomnography
41#
發(fā)表于 2025-3-28 14:45:27 | 只看該作者
Environmental attitudes in North America,e distributions of sums of many long-tailed independent random variables, e.g., the sum of a number of activities that constitute service. But there is the problem that without finite first and second moments, at a minimum, classical queue-theoretic results do not directly apply.
42#
發(fā)表于 2025-3-28 19:10:02 | 只看該作者
43#
發(fā)表于 2025-3-29 00:47:29 | 只看該作者
On a Statistical Algorithm to Decode Heavily Corrupted Linear Codes,ecoding by this method equals 2. and coincides with the complexity of the maximum likelihood method. In [2], it is shown that there exists an algorithm to decode heavily corrupted codes with complexity of order.
44#
發(fā)表于 2025-3-29 06:53:50 | 只看該作者
45#
發(fā)表于 2025-3-29 09:07:54 | 只看該作者
Book 1999enced over the course of hishighly-productive and energetic career in applied probability andstochastic processes. The book will be of interest to academicresearchers, students, and industrial practitioners who seek to usethe mathematics of applied probability in solving problems in modernsociety.
46#
發(fā)表于 2025-3-29 12:08:49 | 只看該作者
Book 1999lied probability, who have made majorcontributions to the field, and have written survey andstate-of-the-art papers on a variety of applied probability topics,including, but not limited to: perturbation method, time reversibleMarkov chains, Poisson processes, Brownian techniques, Bayesianprobability
47#
發(fā)表于 2025-3-29 16:26:52 | 只看該作者
48#
發(fā)表于 2025-3-29 22:05:38 | 只看該作者
49#
發(fā)表于 2025-3-30 02:34:44 | 只看該作者
50#
發(fā)表于 2025-3-30 06:16:15 | 只看該作者
Abdul Malik,Elisabeth Grohmann,Rais Akhtare independent of the ..’s. Let ψ(.), 0 ≤ . ≤ 1, be the probability-generating function of . It is easy to verify that . is the distribution function of .. ≡ max{.., .., …, ..}, and that . is the distribution function of .. ≡ min{.., .., …, ..}. If for a distribution function . we denote ., then (9.2) can also be written as
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