An Introduction to Heavy-Tailed and Subexponential Distributions by Sergey Foss

An Introduction to Heavy-Tailed and Subexponential Distributions by Sergey Foss

Heavy-tailed probability distributions are an important component in the modeling of many stochastic systems. They are frequently used to accurately model inputs and outputs of computer and data networks and service facilities such as call centers. They are an essential for describing risk processes in finance and also for insurance premia pricing, and such distributions occur naturally in models of epidemiological spread. The class includes distributions with power law tails such as the Pareto, as well as the lognormal and certain Weibull distributions. One of the highlights of this new edition is that it includes problems at the end of each chapter. Chapter 5 is also updated to include interesting applications to queueing theory, risk, and branching processes. New results are presented in a simple, coherent and systematic way. Graduate students as well as modelers in the fields of finance, insurance, network science and environmental studies will find this book to be an essential reference.

Sergey Foss is a professor at Heriot-Watt University, Edinburgh, UK. Dmitry Korshunov is a professor at the Sobolev Institute of Mathematics of the Russian Academy of Sciences, Novosibirsk, Russia. Stan Zachary is a professor at Heriot-Watt University, Edinburgh, UK.

SKU	Unavailable
ISBN 13	9781461471004
ISBN 10	1461471001
Title	An Introduction to Heavy-Tailed and Subexponential Distributions
Author	Sergey Foss
Series	Springer Series In Operations Research And Financial Engineering
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer-Verlag New York Inc.
Year published	2013-05-21
Number of pages	157
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.