Overview
- Provides a complete and comprehensive introduction to the theory of long tailed and subexponential distributions
- Expanded text features new exercises and numerous examples
- Includes preliminary mathematical material
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Operations Research and Financial Engineering (ORFE)
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Table of contents (5 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: An Introduction to Heavy-Tailed and Subexponential Distributions
Authors: Sergey Foss, Dmitry Korshunov, Stan Zachary
Series Title: Springer Series in Operations Research and Financial Engineering
DOI: https://doi.org/10.1007/978-1-4614-7101-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science + Business Media New York 2013
Hardcover ISBN: 978-1-4614-7100-4Published: 21 May 2013
Softcover ISBN: 978-1-4899-8832-4Published: 17 June 2015
eBook ISBN: 978-1-4614-7101-1Published: 21 May 2013
Series ISSN: 1431-8598
Series E-ISSN: 2197-1773
Edition Number: 2
Number of Pages: XI, 157
Topics: Probability Theory and Stochastic Processes, Statistics for Business, Management, Economics, Finance, Insurance, Complex Systems, Statistical Physics and Dynamical Systems