img Leseprobe Leseprobe

Copulas and Dependence Models with Applications

Contributions in Honor of Roger B. Nelsen

Juan Fernández Sánchez (Hrsg.), Enrique de Amo Artero (Hrsg.), Manuel Úbeda Flores (Hrsg.), Fabrizio Durante (Hrsg.)

PDF
ca. 128,39
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

This book presents contributions and review articles on the theory of copulas and their applications. The authoritative and refereed contributions review the latest findings in the area with emphasis on “classical” topics like distributions with fixed marginals, measures of association, construction of copulas with given additional information, etc. The book celebrates the 75th birthday of Professor Roger B. Nelsen and his outstanding contribution to the development of copula theory. Most of the book’s contributions were presented at the conference “Copulas and Their Applications” held in his honor in Almería, Spain, July 3-5, 2017.

The chapter 'When Gumbel met Galambos' is published open access under a CC BY 4.0 license.

Weitere Titel in dieser Kategorie
Cover Audit Analytics
J. Christopher Westland
Cover Computational Physiology
Kimberly J. McCabe
Cover The 2x2 Matrix
A. J. Larner

Kundenbewertungen

Schlagwörter

copula construction, measure theory, dependence, conic sections, quantitative risk management, Archimedian copula, applications of copulas, quasi-copula, measures of association, Roger B. Nelsen, stochastic orderings, copula, multivariate copula, rank statistics, tail copula, copula theory, distributions with given marginals, empirical copula, Sklar theorem, diagonal sections