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Titlebook: Computational Probability; Algorithms and Appli John H. Drew,Diane L. Evans,Lawrence M. Leemis Book 2017Latest edition Springer Internation

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樓主: 適婚女孩
11#
發(fā)表于 2025-3-23 11:33:13 | 只看該作者
12#
發(fā)表于 2025-3-23 14:31:21 | 只看該作者
Transient Queueing Analysiseveloped. Maple computer code is developed to implement the transient queue analysis for many system measures of performance without regard to traffic intensity (i.e., the system may be unstable with traffic intensity greater than one).
13#
發(fā)表于 2025-3-23 19:26:28 | 只看該作者
14#
發(fā)表于 2025-3-24 01:42:47 | 只看該作者
15#
發(fā)表于 2025-3-24 02:33:21 | 只看該作者
Instrumente des Supply Chain Management,This chapter presents an algorithm for computing the PDF of the sum of two independent discrete random variables, along with an implementation of the algorithm in APPL. Some examples illustrate the utility of this algorithm.
16#
發(fā)表于 2025-3-24 08:27:54 | 只看該作者
Strategien des Supply Chain Management,This chapter presents an algorithm for computing the PDF of order statistics drawn from discrete parent populations, along with an implementation of the algorithm in APPL. Several examples illustrate the utility of this algorithm.
17#
發(fā)表于 2025-3-24 11:50:56 | 只看該作者
https://doi.org/10.1007/978-3-8349-9549-0The remaining chapters contain dozens of computational probability applications using APPL. The applications range in complexity from brief examples to results and algorithms requiring long derivations. This chapter surveys some applications in reliability and the closely-related field of survival analysis.
18#
發(fā)表于 2025-3-24 17:32:56 | 只看該作者
19#
發(fā)表于 2025-3-24 22:33:14 | 只看該作者
Wolf-Rüdiger Bretzke,Michael KlettThis chapter considers Bayesian applications of APPL. Section?14.1 introduces Bayesian statistics and motivates the use of a computer algebra system to derive posterior distributions. Section?14.2 develops algorithms in the case of a single unknown parameter. Section?14.3 develops algorithms in the case of multiple unknown parameters.
20#
發(fā)表于 2025-3-25 00:14:59 | 只看該作者
Sebastian Kahlmeyer,Jürgen O. LiebertThis chapter contains miscellaneous computational probability applications. Section?. concerns algorithms for calculating the probability distribution of the longest path of a series-parallel stochastic activity network with continuous activity durations.
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