9783319896342-3319896342-Elements of Copula Modeling with R (Use R!)

Elements of Copula Modeling with R (Use R!)

ISBN-13: 9783319896342
ISBN-10: 3319896342
Edition: 1st ed. 2018
Author: Jun Yan, Marius Hofert, Ivan Kojadinovic, Martin Mächler
Publication date: 2019
Publisher: Springer
Format: Paperback 277 pages
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Book details

ISBN-13: 9783319896342
ISBN-10: 3319896342
Edition: 1st ed. 2018
Author: Jun Yan, Marius Hofert, Ivan Kojadinovic, Martin Mächler
Publication date: 2019
Publisher: Springer
Format: Paperback 277 pages

Summary

Elements of Copula Modeling with R (Use R!) (ISBN-13: 9783319896342 and ISBN-10: 3319896342), written by authors Jun Yan, Marius Hofert, Ivan Kojadinovic, Martin Mächler, was published by Springer in 2019. With an overall rating of 3.6 stars, it's a notable title among other Environmental Economics (Economics) books. You can easily purchase or rent Elements of Copula Modeling with R (Use R!) (Paperback) from BooksRun, along with many other new and used Environmental Economics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.87.

Description

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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