Titlebook: An Introduction to Heavy-Tailed and Subexponential Distributions; Sergey Foss,Dmitry Korshunov,Stan Zachary Book 20111st edition Springer

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書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions影響因子(影響力)




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions影響因子(影響力)學(xué)科排名




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions網(wǎng)絡(luò)公開度




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions被引頻次




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions被引頻次學(xué)科排名




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions年度引用




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions年度引用學(xué)科排名




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions讀者反饋




書目名稱An Introduction to Heavy-Tailed and Subexponential Distributions讀者反饋學(xué)科排名

Delude

https://doi.org/10.1007/978-3-642-60067-8n . or counting measure on .. Next we study the asymptotic behaviour of the probabilities to belong to an interval of a fixed length. We give the analogues of the basic properties of the tail probabilities including two analogues of Kesten’s estimate, and provide sufficient conditions for probability distributions to have these local properties.

魯莽

Die Theorie der S?kularen StagnationIn this chapter we are interested in . of distributions, i.e.?in properties of a distribution which, for any ., depend only on the restriction of the distribution to (.,?.). More generally it is helpful to consider tail properties of functions.

叫喊

Heavy-Tailed and Long-Tailed Distributions,In this chapter we are interested in . of distributions, i.e.?in properties of a distribution which, for any ., depend only on the restriction of the distribution to (.,?.). More generally it is helpful to consider tail properties of functions.

patella

Sergey Foss,Dmitry Korshunov,Stan ZacharyProvides a complete and comprehensive introduction to the theory of long.tailed and subexponential distributions.Discusses where the areas of applications currently stand -Includes preliminary mathema

Optic-Disk

Springer Series in Operations Research and Financial Engineeringhttp://image.papertrans.cn/a/image/155279.jpg

針葉類的樹

https://doi.org/10.1007/978-3-7091-3866-3sary to accurately model inputs to computer and communications networks, they are an essential component of the description of many risk processes, they occur naturally in models of epidemiological spread, and there is much statistical evidence for their appropriateness in physics, geoscience and ec

PATHY

Die Theorie der S?kularen Stagnationess the additional regularity property of subexponentiality. Essentially this corresponds to good tail behaviour under the operation of convolution. In this chapter, following established tradition, we introduce first subexponential distributions on the positive half-line?.. It is not immediately ob

muscle-fibers

https://doi.org/10.1007/978-3-642-60067-8n . or counting measure on .. Next we study the asymptotic behaviour of the probabilities to belong to an interval of a fixed length. We give the analogues of the basic properties of the tail probabilities including two analogues of Kesten’s estimate, and provide sufficient conditions for probabilit

RAGE

https://doi.org/10.1007/978-3-642-60067-8alk is almost surely finite, and our interest is in the tail asymptotics of the distribution of this maximum, for both infinite and finite time horizons; we are further interested in the local asymptotics for the maximum in the case of an infinite time horizon. We use direct probabilistic techniques