Skip to main content
  • Textbook
  • © 2013

An Introduction to Heavy-Tailed and Subexponential Distributions

  • 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

Buying options

eBook EUR 42.79
Price includes VAT (Finland)
  • ISBN: 978-1-4614-7101-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book EUR 54.99
Price includes VAT (Finland)
Hardcover Book EUR 65.99
Price includes VAT (Finland)

This is a preview of subscription content, access via your institution.

Table of contents (5 chapters)

  1. Front Matter

    Pages i-xi
  2. Introduction

    • Sergey Foss, Dmitry Korshunov, Stan Zachary
    Pages 1-6
  3. Heavy-Tailed and Long-Tailed Distributions

    • Sergey Foss, Dmitry Korshunov, Stan Zachary
    Pages 7-42
  4. Subexponential Distributions

    • Sergey Foss, Dmitry Korshunov, Stan Zachary
    Pages 43-74
  5. Densities and Local Probabilities

    • Sergey Foss, Dmitry Korshunov, Stan Zachary
    Pages 75-102
  6. Maximum of Random Walk

    • Sergey Foss, Dmitry Korshunov, Stan Zachary
    Pages 103-143
  7. Back Matter

    Pages 145-157

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.

Keywords

  • environmental modeling
  • financial modeling
  • lognormal distribution
  • long-tailed distribution
  • pareto distribution

Authors and Affiliations

  • , Department of Actuarial Mathematics, Heriot-Watt University, Riccarton, Edinburgh, United Kingdom

    Sergey Foss

  • Russian Academy of Sciences, Sobolev Institute of Mathematics of the, Novosibirsk, Russia

    Dmitry Korshunov

  • , Department of Actuarial Mathematics and, Heriot-Watt University, Riccarton, Edinburgh, United Kingdom

    Stan Zachary

About the authors

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.

Bibliographic Information

Buying options

eBook EUR 42.79
Price includes VAT (Finland)
  • ISBN: 978-1-4614-7101-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book EUR 54.99
Price includes VAT (Finland)
Hardcover Book EUR 65.99
Price includes VAT (Finland)