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" Elements of copula modeling with R / "
Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan.
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BL
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| Record Number
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865990
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| Main Entry
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Hofert, Marius
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| Title & Author
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Elements of copula modeling with R /\ Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan.
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| Publication Statement
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Cham :: Springer,, [2018]
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| Series Statement
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Use R!
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| Page. NO
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1 online resource (x, 267 pages) :: illustrations (some color)
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| ISBN
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3319896350
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: 3319896369
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: 9783319896359
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: 9783319896366
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3319896342
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9783319896342
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| Contents
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Introduction -- Copulas -- Classes and families -- Estimation -- Graphical diagnostics, tests, and model selection -- Ties, time series, and regression.
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| Abstract
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This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate distribution functions with standard uniform univariate margins. They are increasingly applied to modeling dependence among random variables in fields such as risk management, actuarial science, insurance, finance, engineering, hydrology, climatology, and meteorology, to name a few. In the spirit of the Use R! series, each chapter combines key theoretical definitions or results with illustrations in R. Aimed at statisticians, actuaries, risk managers, engineers and environmental scientists wanting to learn about the theory and practice of copula modeling using R without an overwhelming amount of mathematics, the book can also be used for teaching a course on copula modeling.
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| Subject
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Copulas (Mathematical statistics)
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| Subject
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R (Computer program language)
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Copulas (Mathematical statistics)
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R (Computer program language)
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| Dewey Classification
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519.5/35
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| LC Classification
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QA273.6.H64 2018
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| Added Entry
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Kojadinovic, Ivan
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Mächler, Martin
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Yan, Jun
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