R Programming for Actuarial Science

R Programming for Actuarial Science is a professional resource that provides an introduction to R coding for actuarial and financial mathematics applications, with real-life examples and over 400 coding examples and exercises. It is an essential reference for BSc/MSc students in actuarial science, trainee actuaries, and qualified actuaries with little programming experience, as well as undergraduate students studying finance, business, and economics.

Format: Unspecified
Length: 640 pages
Publication date: 16 November 2023
Publisher: John Wiley & Sons Inc

R Programming for Actuarial Science is a comprehensive professional resource that offers an introduction to R coding for actuarial and financial mathematics applications. With real-life examples, it provides a solid foundation in R programming for those working in the actuarial field. The book covers a wide range of topics essential for actuarial work, including compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing.

To enhance understanding, the book includes over 400 coding examples and exercises, most with solutions. It caters to students at various levels, from beginners to those with intermediate programming experience, and covers various actuarial applications and real-life scenarios.

One of the key strengths of R Programming for Actuarial Science is its balanced approach. It combines practical discussion with basic theory, making it an essential reference for BSc/MSc students in actuarial science, trainee actuaries studying privately, and qualified actuaries with limited programming experience. Additionally, undergraduate students studying finance, business, and economics can also benefit from this book.

The book is well-organized, with each chapter providing a clear overview of the topics covered. It begins with basic theory and gradually builds upon it, allowing readers to grasp the fundamental principles before delving into more advanced concepts. The real-life examples provided throughout the book help to illustrate the practical applications of R programming in the actuarial field.

In conclusion, R Programming for Actuarial Science is a valuable resource for anyone seeking to enhance their skills in R programming and apply it to actuarial and financial mathematics applications. With its comprehensive coverage, practical examples, and balanced approach, it is an essential tool for students, professionals, and anyone interested in the field.

Weight: 1256g
Dimension: 177 x 253 x 42 (mm)
ISBN-13: 9781119754978