Computational Actuarial Science with R is popular PDF and ePub book, written by Arthur Charpentier in 2014-08-26, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Computational Actuarial Science with R can be Read Online from any device for your convenience.
Computational Actuarial Science with R Book PDF Summary
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 life insurance, including life contingencies calculations and prospective life tables. Focusing on finance from an actuarial perspective, the next part presents techniques for modeling stock prices, nonlinear time series, yield curves, interest rates, and portfolio optimization. The last part explains how to use R to deal with computational issues of nonlife insurance. Taking a do-it-yourself approach to understanding algorithms, this book demystifies the computational aspects of actuarial science. It shows that even complex computations can usually be done without too much trouble. Datasets used in the text are available in an R package (CASdatasets).
Detail Book of Computational Actuarial Science with R PDF
- Author : Arthur Charpentier
- Release : 26 August 2014
- Publisher : CRC Press
- ISBN : 9781466592599
- Genre : Business & Economics
- Total Page : 652 pages
- Language : English
- PDF File Size : 12,7 Mb
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