An Introduction to Heavy-Tailed and Subexponential Distributions (Springer Series in Operations Research and Financial Engineering)

Foss, Sergey, Korshunov, Dmitry, Zachary, Stan

ISBN 10: 1441994726 / ISBN 13: 9781441994721

Editore: Springer, 2011

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Codice articolo ERICA75814419947265

Dati bibliografici

• Titolo: An Introduction to Heavy-Tailed and Subexponential Distributions (Springer Series in Operations Research and Financial Engineering)
• Editore: Springer
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 1441994726
• ISBN 13: 9781441994721
• Rilegatura: Hardcover
• Condizione: Like New
• Tipo di libro: book

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Riassunto

This monograph provides a complete and comprehensive introduction to the theory of long-tailed and subexponential distributions in one dimension. New results are presented in a simple, coherent and systematic way. All the standard properties of such convolutions are then obtained as easy consequences of these results. The book focuses on more theoretical aspects. A discussion of where the areas of applications currently stand in included as is some preliminary mathematical material. Mathematical modelers (for e.g. in finance and environmental science) and statisticians will find this book useful.

Dalla quarta di copertina

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.

This monograph defines the classes of long-tailed and subexponential distributions in one dimension and provides a complete and comprehensive description of their properties. New results are presented in a simple, coherent and systematic way. This leads to a comprehensive exposition of tail properties of sums of independent random variables whose distributions belong to the long-tailed and subexponential class.

The book includes a discussion of and references to contemporary areas of applications and also contains preliminary mathematical material which makes the book self contained. Modelers in the fields of finance, insurance, network science and environmental studies will find this book to be an essential reference.