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Computational Actuarial Science with R (Chapman & Hall/CRC The R Series)

Amazon.com Price:  $53.26 (as of 12/05/2019 17:44 PST- Details)

Description

A Hands-On Approach to Understanding and The use of Actuarial Models

Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. The use of simple R code, the book helps you consider 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 one part discusses the computational facets of life insurance, including life contingencies calculations and prospective life tables. Specializing in finance from an actuarial standpoint, the next part presents techniques for modeling stock prices, nonlinear time series, yield curves, interest rates, and portfolio optimization. The last part explains tips on how to use R to care for 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 frequently be done without too much trouble. Datasets used within the text are to be had in an R package (CASdatasets).


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