An Introduction to Stochastic Orders (ePub)

Name: An Introduction to Stochastic Orders
Brand: Elsevier Science & Techn.
SKU: 70687226
Price: 80.90 CHF
Availability: OnlineOnly

(Sprache: Englisch)

Autoren: Felix Belzunce , Carolina Martinez Riquelme , Julio Mulero

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An Introduction to Stochastic Orders, Felix Belzunce, Carolina Martinez Riquelme, Julio Mulero

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An Introduction to Stochastic Orders discusses this powerful tool that can be used in comparing probabilistic models in different areas such as reliability, survival analysis, risks, finance, and economics. The book provides a general background on this...

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In addition, users will find detailed proofs of the main results and applications to several probabilistic models of interest in several fields, and discussions of fundamental properties of several stochastic orders, in the univariate and multivariate cases, along with applications to probabilistic models.

Introduces stochastic orders and its notation
Discusses different orders of univariate stochastic orders
Explains multivariate stochastic orders and their convex, likelihood ratio, and dispersive orders

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Bibliographische Angaben

Autoren: Felix Belzunce , Carolina Martinez Riquelme , Julio Mulero
2015, 174 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128038268
ISBN-13: 9780128038260
Erscheinungsdatum: 29.09.2015

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Dateiformat: ePub
Grösse: 4.21 MB
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Englisch

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"Overall, this is a very welcome compact treatment of stochastic orders. Despite its introductory nature, the authors managed to include a wealth of useful results that are widely scattered across the literature." --Statistical Papers

"...a very elegant and concise introduction to stochastic orders. It covers all the elementary theory of the most widely used stochastic orders and, as such, has a broad range of applications in areas such as reliability, survival analysis, quantitative risk management, dependence modeling and economics." --Zentralblatt MATH

"...a comprehensive introduction to stochastic orders, and it is particularly suitable for students and researchers approaching this topic for the first time...The book is enriched with various examples and a large and updated bibliography on stochastic orders." --Mathematical Reviews

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