Cargando…

An Introduction to Heavy-Tailed and Subexponential Distributions

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Foss, Sergey (Autor), Korshunov, Dmitry (Autor), Zachary, Stan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Springer Series in Operations Research and Financial Engineering, 38
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4419-9473-8
003 DE-He213
005 20220118034750.0
007 cr nn 008mamaa
008 110524s2011 xxu| s |||| 0|eng d
020 |a 9781441994738  |9 978-1-4419-9473-8 
024 7 |a 10.1007/978-1-4419-9473-8  |2 doi 
050 4 |a QA273.A1-274.9 
072 7 |a PBT  |2 bicssc 
072 7 |a PBWL  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
072 7 |a PBT  |2 thema 
072 7 |a PBWL  |2 thema 
082 0 4 |a 519.2  |2 23 
100 1 |a Foss, Sergey.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 3 |a An Introduction to Heavy-Tailed and Subexponential Distributions  |h [electronic resource] /  |c by Sergey Foss, Dmitry Korshunov, Stan Zachary. 
250 |a 1st ed. 2011. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2011. 
300 |a IX, 123 p. 1 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Series in Operations Research and Financial Engineering,  |x 2197-1773 ;  |v 38 
505 0 |a Preface -- Introduction -- Heavy- and long-tailed distributions -- Subexponential distributions.- Densities and local probabilities -- Maximum of random walks -- References -- Index. 
520 |a 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. 
650 0 |a Probabilities. 
650 0 |a Statistics . 
650 0 |a System theory. 
650 0 |a Mathematical physics. 
650 1 4 |a Probability Theory. 
650 2 4 |a Statistics in Business, Management, Economics, Finance, Insurance. 
650 2 4 |a Complex Systems. 
650 2 4 |a Theoretical, Mathematical and Computational Physics. 
700 1 |a Korshunov, Dmitry.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Zachary, Stan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781441994721 
776 0 8 |i Printed edition:  |z 9781441994745 
830 0 |a Springer Series in Operations Research and Financial Engineering,  |x 2197-1773 ;  |v 38 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4419-9473-8  |z Texto Completo 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)