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Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics

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Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications (Hardcover, Second Edition) Loot Price: R3,526
Discovery Miles 35 260
Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications (Hardcover, Second Edition): Jan-Frederik Mai,...

Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications (Hardcover, Second Edition)

Jan-Frederik Mai, Matthias Scherer

Series: Series In Quantitative Finance, 6

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Loot Price R3,526 Discovery Miles 35 260 | Repayment Terms: R330 pm x 12*

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'The book remains a valuable tool both for statisticians who are already familiar with the theory of copulas and just need to develop sampling algorithms, and for practitioners who want to learn copulas and implement the simulation techniques needed to exploit the potential of copulas in applications.'Mathematical ReviewsThe book provides the background on simulating copulas and multivariate distributions in general. It unifies the scattered literature on the simulation of various families of copulas (elliptical, Archimedean, Marshall-Olkin type, etc.) as well as on different construction principles (factor models, pair-copula construction, etc.). The book is self-contained and unified in presentation and can be used as a textbook for graduate and advanced undergraduate students with a firm background in stochastics. Besides the theoretical foundation, ready-to-implement algorithms and many examples make the book a valuable tool for anyone who is applying the methodology.

General

Imprint: World Scientific Publishing Co Pte Ltd
Country of origin: Singapore
Series: Series In Quantitative Finance, 6
Release date: August 2017
Authors: Jan-Frederik Mai • Matthias Scherer
Dimensions: 161 x 236 x 24mm (L x W x T)
Format: Hardcover
Pages: 356
Edition: Second Edition
ISBN-13: 978-981-3149-24-3
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
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LSN: 981-3149-24-8
Barcode: 9789813149243

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