R Programming for Actuarial Science

Professional resource providing basic to intermediate levels of R coding in respect of actuarial applications, with real-life examples

R Programming for Actuarial Science and Financial Mathematics provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work, equipping the student with knowledge of statistical distributions and methods to summarize data. The authors have a combined experience of 20 years in actuarial consultancies and insurance companies, as well as over 20 years in university teaching and research.

In R Programming for Actuarial Science and Financial Mathematics, readers will find:

• Basic theory for each chapter--the length matching the complexity of the topic--to complement other actuarial textbooks which provide foundational theory in depth
• Information on compound interest, statistical inference, asset-liability matching, time series, loss distributions, contingencies, mortality models, and option pricing
• Exercises to write code, 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 and Financial Mathematics 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.

「R程式設計在精算應用中的基礎到中級程度的專業資源，附有實際案例」

《R程式設計在精算科學與金融數學中的應用》提供了一個基礎的R程式設計入門，並應用於精算工作中的數學和統計方法，使學生瞭解統計分佈和數據總結的知識。作者在精算顧問公司和保險公司擁有共計20年的經驗，並在大學教學和研究方面擁有超過20年的經驗。

在《R程式設計在精算科學與金融數學中的應用》中，讀者將會找到：
- 每個章節的基礎理論，其長度與主題的複雜性相匹配，以補充其他精算教科書中深入的基礎理論
- 關於複利、統計推斷、資產負債匹配、時間序列、損失分佈、條件、死亡模型和期權定價的資訊
- 編寫程式碼的練習，使學生更好地理解底層的數學和統計原則
- 在許多精算應用中提供基礎到中級程度的涵蓋範圍，並附有每個主題的實際案例

《R程式設計在精算科學與金融數學中的應用》結合了實用討論和基礎理論，是精算科學的BSc/MSc學生、自學精算師培訓生以及具有少量程式設計經驗的合格精算師的必備參考資料，同時也適用於金融、商業和經濟學的本科生。

Peter McQuire, FIA, is a Lecturer in Actuarial Science at the University of Kent. He has 18 years of experience in pension scheme consultancy and risk management, as well as 7 years teaching at the University. Alfred Kume is Senior lecturer in Statistics at the University of Kent with 19 years of teaching experience and exposure to general insurance.

Peter McQuire，FIA，是肯特大學精算科學講師。他在退休金計劃諮詢和風險管理方面擁有18年的經驗，並在大學教授了7年。Alfred Kume是肯特大學統計學高級講師，擁有19年的教學經驗和對一般保險的經驗。