挑染
发表于 2025-3-21 19:06:32
书目名称An Introduction to Heavy-Tailed and Subexponential Distributions影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0155279<br><br> <br><br>书目名称An Introduction to Heavy-Tailed and Subexponential Distributions读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0155279<br><br> <br><br>
Delude
发表于 2025-3-21 20:58:40
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.
鲁莽
发表于 2025-3-22 00:58:41
Die Theorie der Säkularen 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
发表于 2025-3-22 05:50:42
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
发表于 2025-3-22 09:12:54
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
发表于 2025-3-22 14:51:09
Springer Series in Operations Research and Financial Engineeringhttp://image.papertrans.cn/a/image/155279.jpg
针叶类的树
发表于 2025-3-22 20:06:07
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
发表于 2025-3-22 23:51:35
Die Theorie der Säkularen 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
发表于 2025-3-23 04:05:04
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
发表于 2025-3-23 06:30:24
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