NDLI: Convolutions of Long-Tailed and Subexponential Distributions

Content Provider	Scilit
Author	Foss, Sergey Korshunov, Dmitry Zachary, Stan
Copyright Year	2009
Description	Convolutions of long-tailed and subexponential distributions play a major role in the analysis of many stochastic systems. We study these convolutions, proving some important new results through a simple and coherent approach, and also showing that the standard properties of such convolutions follow as easy consequences.
Related Links	https://www.cambridge.org/core/services/aop-cambridge-core/content/view/1AA18F5D8A230FA7F6B50AA6E7FA7F04/S0021900200005866a.pdf/div-class-title-convolutions-of-long-tailed-and-subexponential-distributions-div.pdf
Ending Page	767
Page Count	12
Starting Page	756
ISSN	00219002
e-ISSN	14756072
DOI	10.1017/s0021900200005866
Journal	Journal of applied probability
Issue Number	03
Volume Number	46
Language	English
Publisher	Cambridge University Press (CUP)
Publisher Date	2009-09-01
Access Restriction	Open
Subject Keyword	Journal of applied probability Artificial Intelligence tailed Distribution Subexponential Distribution
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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