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Titlebook: Advances in Stochastic Simulation Methods; N. Balakrishnan,V. B. Melas,S. Ermakov Book 2000 Springer Science+Business Media New York 2000

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發(fā)表于 2025-3-21 17:39:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Stochastic Simulation Methods
影響因子2023N. Balakrishnan,V. B. Melas,S. Ermakov
視頻videohttp://file.papertrans.cn/150/149882/149882.mp4
學(xué)科分類Statistics for Industry and Technology
圖書封面Titlebook: Advances in Stochastic Simulation Methods;  N. Balakrishnan,V. B. Melas,S. Ermakov Book 2000 Springer Science+Business Media New York 2000
影響因子This is a volume consisting of selected papers that were presented at the 3rd St. Petersburg Workshop on Simulation held at St. Petersburg, Russia, during June 28-July 3, 1998. The Workshop is a regular international event devoted to mathematical problems of simulation and applied statistics organized by the Department of Stochastic Simulation at St. Petersburg State University in cooperation with INFORMS College on Simulation (USA). Its main purpose is to exchange ideas between researchers from Russia and from the West as well as from other coun- tries throughout the World. The 1st Workshop was held during May 24-28, 1994, and the 2nd workshop was held during June 18-21, 1996. The selected proceedings of the 2nd Workshop was published as a special issue of the Journal of Statistical Planning and Inference. Russian mathematical tradition has been formed by such genius as Tchebysh- eff, Markov and Kolmogorov whose ideas have formed the basis for contempo- rary probabilistic models. However, for many decades now, Russian scholars have been isolated from their colleagues in the West and as a result their mathe- matical contributions have not been widely known. One of the primary reaso
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978-1-4612-7091-1Springer Science+Business Media New York 2000
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Advances in Stochastic Simulation Methods978-1-4612-1318-5Series ISSN 2364-6241 Series E-ISSN 2364-625X
地板
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B. L. Davies,A. J. Robotham,A. Yarwoodrocedure is developed such that in each level the number of samples is balanced with the level-dependent variance, resulting in a considerable reduction of the overall computational cost. The new technique is applied to the Monte Carlo estimation of integrals depending on a parameter.
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Life cycle maintenance management double exponential models and report on the efficiency changes in both types of designs when the nominal values of the parameters are misspecified..Our results show that while .-optimal designs may appear as a more rational criterion, .-optimal designs can be less sensitive to misspecification in the nominal value of the parameters.
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Uwe M. Borghoff,Johann H. Schlichter87)]. It is known that this process is described with a good precision by the equation with quadratic nonlinearity (the Boltzman equation). The relation between the Boltzman equation and branching and collision processes was studied in the book [.] and a number of following papers [for example, ., a
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