
Bild 1 von 1
An Introduction to Heavy-Tailed and Subexponential Distributions - Bücher neu kaufen
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.
Mehr anzeigen- Produktart:
- Bücher
- ISBN | EAN:
- 1489988327 | 9781489988324
Weitere Formate und Editionen
(alle anzeigen)
Gebundenes Buch
1x neu ab
59,91 EUR
Kostenloser Versand
1 verfügbares Angebot für diesen Artikel An Introduction to Heavy-Tailed and Subexponential Distributions
Neuware

An Introduction to Heavy-Tailed and Subexponential Distributions
von Sergey Foss, Dmitry Korshunov, Stan Zachary Verlag: Springer2015 Kartoniert, 172 Seiten, 235mm x 155mm x 10mm, Sprache(n): eng Provides a complete and comprehensive introduction to the theory of long tailed… mehr lesen
Von: MARZIES Buch- und Medienhandel (Schönwalde-Glien, 🇩🇪 Deutschland)Neu
59,91 EUR
Kostenloser Versand
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.










