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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.
Produkteigenschaften
- Artikelnummer: 9781119754978
- Medium: Buch
- ISBN: 978-1-119-75497-8
- Verlag: Wiley
- Erscheinungstermin: 16.10.2023
- Sprache(n): Englisch
- Auflage: 1. Auflage 2023
- Produktform: Gebunden
- Gewicht: 1255 g
- Seiten: 640
- Format (B x H x T): 175 x 250 x 38 mm
- Ausgabetyp: Kein, Unbekannt