Reagan
发表于 2025-3-21 18:41:04
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面包屑
发表于 2025-3-21 23:24:09
Data Structures and Simple Algorithmsause they are defined with a somewhat simpler data structure than that for discrete random variables. The development described here gives a probabilist the ability to automate the instantiation and processing of continuous random variables—key elements of computational probability.
是贪求
发表于 2025-3-22 04:27:26
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代理人
发表于 2025-3-22 06:42:04
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conference
发表于 2025-3-22 10:27:59
Stochastic Simulationtational probability in input modeling. Section 10.3 contains a development of an algorithm to find the distribution of the Kolmogorov—Smirnov goodness of-fit test statistic in the all-parameters-known case.
integral
发表于 2025-3-22 15:05:44
https://doi.org/10.1007/978-0-387-74676-0APPL; Maple; Random variable; Simulation; Survival analysis; Transformation; algorithm; algorithms; calculus
integral
发表于 2025-3-22 20:26:37
Springer-Verlag US 2008
生锈
发表于 2025-3-22 22:40:03
https://doi.org/10.1007/978-3-8349-3948-7This 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.
吝啬性
发表于 2025-3-23 04:01:45
Zusammenfassende Diskussion und Ausblick,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.
主讲人
发表于 2025-3-23 06:44:17
https://doi.org/10.1007/978-3-322-82151-5The 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.