An Introduction to Heavy-Tailed and Subexponential Distributions
2nd Edition
Published on 21. May 2013
XI, 157 pages
978-1-4614-7101-1 (ISBN)
Description
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.
More details
Series
Edition
2nd ed. 2013
Language
English
Place of publication
New York
United States
Publishing group
Springer US
Target group
Primary & secondary/elementary & high school
Product notice
Reflowable
Illustrations
XI, 157 p.
ISBN-13
978-1-4614-7101-1 (9781461471011)
DOI
10.1007/978-1-4614-7101-1
Schweitzer Classification
Other editions
Additional editions
Sergey Foss | Dmitry Korshunov | Stan Zachary
An Introduction to Heavy-Tailed and Subexponential Distributions
Book
05/2013
2nd Edition
Springer
€64.19
Shipment within 15-20 days
Persons
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.
Content
Preface.- Introduction.- Heavy- and long-tailed distributions.- Subexponential distributions.- Densities and local probabilities.- Maximum of random walks.- References.- Index.
