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Titlebook: Geometric Sums: Bounds for Rare Events with Applications; Risk Analysis, Relia Vladimir Kalashnikov Book 1997 Springer Science+Business Med

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書目名稱Geometric Sums: Bounds for Rare Events with Applications
副標(biāo)題Risk Analysis, Relia
編輯Vladimir Kalashnikov
視頻videohttp://file.papertrans.cn/384/383615/383615.mp4
叢書名稱Mathematics and Its Applications
圖書封面Titlebook: Geometric Sums: Bounds for Rare Events with Applications; Risk Analysis, Relia Vladimir Kalashnikov Book 1997 Springer Science+Business Med
描述This book reviews problems associated with rare events arisingin a wide range of circumstances, treating such topics as how toevaluate the probability an insurance company will be bankrupted, thelifetime of a redundant system, and the waiting time in a queue. .Well-grounded, unique mathematical evaluation methods of basicprobability characteristics concerned with rare events are presented,which can be employed in real applications, as the volume alsocontains relevant numerical and Monte Carlo methods. The variousexamples, tables, figures and algorithms will also be appreciated...Audience:. This work will be useful to graduate students,researchers and specialists interested in applied probability,simulation and operations research.
出版日期Book 1997
關(guān)鍵詞algorithm; algorithms; calculus; operations research; reliability; risk analysis; simulation; system; qualit
版次1
doihttps://doi.org/10.1007/978-94-017-1693-2
isbn_softcover978-90-481-4868-4
isbn_ebook978-94-017-1693-2
copyrightSpringer Science+Business Media Dordrecht 1997
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,Generalized Rényi Theorem,nsider the case where the d.f. . of summands in the underlying geometric sum may vary together with parameter . of the corresponding geometric distribution. Although the limiting results are ., they can easily be stated in the form of .. This is partly done in this chapter but generally this problem
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Two-Sided Bounds,estimates of . . by the so-called test function method. The bounds are derived for several particular cases (where the summands satisfy the Cramér condition, have heavy tails, etc.) and they are stated in the form ready for numerical calculations, revealing tail behaviour of . .(.) and giving explic
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Metric Bounds,s are stated in a so-called . where a certain distance between an unknown d.f. . .(.) and some known distribution (exponential, Laplace, or their multivariate analogies) is estimated. Short motivation of this approach is given in Section 5.1. Section 5.2 contains bounds in terms of an auxiliary .-me
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Ruin Probability,In this chapter, we treat the following fairly new topics. First, we find the initial capital securing a prescribed risk level when the relative safety loading tends to O. Second, we derive two-sided bounds of ruin probability in the cases where claim sizes have light and heavy tails. Third, we obta
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Reliability Regenerative Models,generative processes. Such processes play a noticeable role in the theory of random processes and have many applications in biology, queueing, reliability, Markov chains, risk theory, simulation, etc. Typically, we study . taking reliability regenerative models as an example where such events can be
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https://doi.org/10.1007/978-94-017-1693-2algorithm; algorithms; calculus; operations research; reliability; risk analysis; simulation; system; qualit
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