Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
R Programming for Actuarial Science

R Programming for Actuarial Science

McQuire, Peter
Kume, Alfred

Hardcover

Business GeneralApplications

ISBN10: 1119754976
ISBN13: 9781119754978
Publisher: Wiley
Published: Oct 16 2023
Pages: 640
Weight: 2.64
Height: 1.38 Width: 6.69 Depth: 9.61
Language: English
R Programming for Actuarial Science

Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples

R Programming for Actuarial Science provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work.

In R Programming for Actuarial Science, readers will find:

  • Basic theory for each chapter to complement other actuarial textbooks which provide foundational theory in depth.
  • Topics covered include compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing plus many more typically covered in university courses.
  • More than 400 coding examples and exercises, most with solutions, to enable students to gain a better understanding of underlying mathematical and statistical principles.
  • An overall basic to intermediate level of coverage in respect of numerous actuarial applications, and real-life examples included with every topic.

Providing a highly useful combination of practical discussion and basic theory, R Programming for Actuarial Science is an essential reference for BSc/MSc students in actuarial science, trainee actuaries studying privately, and qualified actuaries with little programming experience, along with undergraduate students studying finance, business, and economics.

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