Computational Actuarial Science with R (Hardcover)

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).

General

Imprint:	Crc Press
Country of origin:	United States
Series:	Chapman & Hall/CRC The R Series
Release date:	August 2014
First published:	2014
Editors:	Arthur Charpentier
Dimensions:	260 x 182 x 36mm (L x W x T)
Format:	Hardcover - Unsewn / adhesive bound
Pages:	618
ISBN-13:	978-1-4665-9259-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Business & Economics > Finance & accounting > Finance > Insurance > General Books > Money & Finance > Insurance > General
LSN:	1-4665-9259-1
Barcode:	9781466592599

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