Product guide

Computational Actuarial Science with R

Computational Actuarial Science with R is a hands-on guide to actuarial computation using R. Its stated coverage spans statistical modeling, life insurance, actuarial finance, and nonlife insurance, with topics including parallel computing and embedded C/C++ code.

At a glance

Introduces R before covering actuarial computation and statistical modeling.
Includes life contingencies, prospective life tables, stock-price and interest-rate modeling, yield curves, and portfolio optimization.
The description says datasets used in the text are available through the CASdatasets R package.
Advanced subjects include parallel computing and embedded C/C++ code.

Price

$132.60Save 43%

Reference price: ~~$233.99~~

Price checked: Nov 14, 2026

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Pros and cons

Pros

Broad scope connects actuarial methods with practical computation in R.
Includes examples and datasets intended to support hands-on work.
Addresses life and nonlife insurance as well as actuarial finance.

Cons

The 650-page scope and technical emphasis are better suited to sustained study than a quick reference.

Technical specifications

9 specifications

Publication
Publisher	Chapman and Hall/CRC
Publication date	August 26, 2014
Edition	1st
Language	English
Print length	650 pages
ISBN-10	1466592591
ISBN-13	978-1466592599

Dimensions and installation
Weight listed	2.82 pounds
Dimensions	7.25 x 1.5 x 10.25 inches

What to know before buying

The book's listed publication date is August 26, 2014, so readers seeking coverage of newer R practices or developments should check whether this edition meets their needs.

Who is it for?

A good fit for

Actuarial students and practitioners seeking computational examples in R.
Readers studying actuarial modeling across life insurance, finance, and nonlife insurance.
R users interested in the algorithms behind actuarial calculations.

Less suited to

Readers seeking a brief introduction to actuarial science without programming.
Readers who need a current overview of developments published after this first edition.

Customer reviews on Amazon

4.5 / 5 · 31 ratings

5 stars70%70%
4 stars16%16%
3 stars10%10%
2 stars4%4%
1 star0%0%

The listing provides aggregate ratings but no written customer-feedback summary. The distribution skews positive, with some middle and lower ratings, but ratings alone do not show which topics or aspects readers liked or disliked. They offer limited guidance on whether the technical scope and R-based approach match a particular reader's needs.

Frequently asked questions

What topics does this book cover?

The description lists statistical modeling, life insurance calculations, actuarial finance topics such as stock prices and yield curves, and computational issues in nonlife insurance.

Does the book include R code and datasets?

The listing describes simple R code and says datasets used in the text are available in the CASdatasets R package.

Does it cover advanced computation?

Yes. The description mentions parallel computing and embedded C/C++ code, in addition to introductory R and actuarial algorithms.

What edition and length are listed?

The listing specifies the 1st edition, in English, with a print length of 650 pages.