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Arthur Charpentier (Ed.) - Computational Actuarial Science with R - 9781138033788 - V9781138033788
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Computational Actuarial Science with R

€ 65.44
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Description for Computational Actuarial Science with R Paperback. Editor(s): Charpentier, Arthur. Series: Chapman & Hall/CRC: The R Series. Num Pages: 656 pages, 178 black & white illustrations, 22 black & white tables. BIC Classification: KCHS; KF; PBW. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 255 x 227 x 43. Weight in Grams: 1196.
A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. After an introduction to the R language, the book is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets of ... Read more

Product Details

Publisher
Taylor & Francis Ltd
Format
Paperback
Publication date
2016
Series
Chapman & Hall/CRC: The R Series
Condition
New
Number of Pages
656
Place of Publication
London, United Kingdom
ISBN
9781138033788
SKU
V9781138033788
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2

About Arthur Charpentier (Ed.)
Arthur Charpentier is a professor of actuarial science at the University of Quebec at Montreal. He is a fellow of the French Institute of Actuaries and holds a PhD in applied mathematics from K.U. Leuven. Dr. Charpentier is the co-author of two textbooks on mathematical models of nonlife insurance and has published several articles in peer-reviewed journals. He is also ... Read more

Reviews for Computational Actuarial Science with R
... the main objective of the book is that the reader gets interested in the topic and plays with the presented models and R codes in an active way. I have experienced that this goal can be easily reached for a large audience of readers because the presentation of the various arguments encourages an active learning of the concepts `without ... Read more

Goodreads reviews for Computational Actuarial Science with R


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