Marshall ̶ olkin distributions - advances in theory and applications : Bologna, Italy, October 2013 /

This book presents the latest advances in the theory and practice of Marshall-Olkin distributions. These distributions have been increasingly applied in statistical practice in recent years, as they make it possible to describe interesting features of stochastic models like non-exchangeability, tail...

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Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Cherubini, Umberto, Durante, Fabrizio, Mulinacci, Sabrina
Formatua: eBook
Hizkuntza:English
Argitaratua: Cham Springer International Publishing 2015.
Saila:Springer Proceedings in Mathematics & Statistics 141
Gaiak:
Sarrera elektronikoa:Click here to view the full text content
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245 1 0 |a Marshall ̶ olkin distributions - advances in theory and applications :  |b Bologna, Italy, October 2013 /  |c edited by Umberto Cherubini, Fabrizio Durante, Sabrina Mulinacci. 
264 1 |a Cham  |b Springer International Publishing  |c 2015. 
300 |a 1 online resource (XV, 113 pages) 18 illustration. 
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490 1 |a Springer Proceedings in Mathematics & Statistics  |x 2194-1009  |v 141 
505 0 |a A Survey of Dynamic Representations and Generalizations of the Marshall-Olkin Distribution German Bernhart, Lexuri Fernández, Jan-Frederik Mai, Steffen Schenk , and Matthias Scherer -- Copulas Based on Marshall-Olkin Machinery by Fabrizio Durante and Stéphane Girard, and Gildas Mazo -- The mean of Marshall-Olkin dependent exponential random  by Lexuri Fernández and Jan-Frederik Mai and Matthias Scherer -- General Marshall-Olkin Models, Dependence Orders and Comparisons of Environmental Processes by Esther Frostig and Franco Pellerey -- Marshall-Olkin Machinery and Power Mixing: the Mixed Generalized Marshall-Olkin Distribution by Sabrina Mulinacci -- Extended Marshall-Olkin Model and Its Dual Version by Jayme Pinto and Nikolai Kolev. 
520 |a This book presents the latest advances in the theory and practice of Marshall-Olkin distributions. These distributions have been increasingly applied in statistical practice in recent years, as they make it possible to describe interesting features of stochastic models like non-exchangeability, tail dependencies and the presence of a singular component. The book presents cutting-edge contributions in this research area, with a particular emphasis on financial and economic applications. It is recommended for researchers working in applied probability and statistics, as well as for practitioners interested in the use of stochastic models in economics. This volume collects selected contributions from the conference "Marshall-Olkin Distributions: Advances in Theory and Applications," held in Bologna on October 2-3, 2013. 
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650 0 |a Engineering mathematics. 
650 0 |a Econometrics. 
700 1 |a Cherubini, Umberto. 
700 1 |a Durante, Fabrizio. 
700 1 |a Mulinacci, Sabrina. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition  |z 9783319190389 
830 0 |a Springer Proceedings in Mathematics & Statistics  |x 2194-1009  |v 141 
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