Univariate Stable Distributions

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Models for Heavy Tailed Data, Springer Series in Operations Research and Financial Engineering

ISBN: 3030529177
ISBN 13: 9783030529178
Autor: Nolan, John P
Verlag: Springer Verlag GmbH
Umfang: xv, 333 S., 83 s/w Illustr., 21 farbige Illustr., 333 p. 104 illus., 21 illus. in color.
Erscheinungsdatum: 14.09.2021
Auflage: 1/2020
Produktform: Kartoniert
Einband: KT

Introduces the theory, numerical algorithms, and statistical methods associated with stable distributions with an accessible, non-technical approachHighlights the many practical applications of stables distributions, including in finance, statistics, engineering, physics, and morePresents a number of helpful exercises, as well as links to free software to apply the models in practice

Artikelnummer: 2795825 Kategorie:

Beschreibung

Autorenporträt

John Nolan received his PhD from the University of Virginia, and has taught at the University of Zambia, Kenyon College, and American University. He also worked in a software firm, developing systems for intensive care units. His main research interests are in models for heavy tailed data and extremes.

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