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Nonlife Actuarial Models: Theory, Methods and Evaluation (International Series on Actuarial Science) - Hardcover

 
9781009315074: Nonlife Actuarial Models: Theory, Methods and Evaluation (International Series on Actuarial Science)
  • PublisherCambridge University Press
  • Publication date2023
  • ISBN 10 1009315072
  • ISBN 13 9781009315074
  • BindingHardcover
  • LanguageEnglish
  • Edition number2
  • Number of pages560

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Tse, Yiu-Kuen
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Hardcover. Condition: new. Hardcover. Actuaries must pass exams, but more than that: they must put knowledge into practice. This coherent book supports the Society of Actuaries' short-term actuarial mathematics syllabus while emphasizing the concepts and practical application of nonlife actuarial models. A class-tested textbook for undergraduate courses in actuarial science, it is also ideal for those approaching their professional exams. Key topics covered include loss modelling, risk and ruin theory, credibility theory and applications, and empirical implementation of loss models. Revised and updated to reflect curriculum changes, this second edition includes two brand new chapters on loss reserving and ratemaking. R replaces Excel as the computation tool used throughout the featured R code is available on the book's webpage, as are lecture slides. Numerous examples and exercises are provided, with many questions adapted from past Society of Actuaries exams. The second edition of this textbook for undergraduate courses in actuarial science emphasizes the concepts and practical application of nonlife actuarial models. Also ideal for those preparing for professional exams, it contains R code examples and many exercises, including questions adapted from past exams of the Society of Actuaries. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009315074

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Hardcover. Condition: Brand New. 2nd edition. 560 pages. 9.00x6.00x1.19 inches. In Stock. This item is printed on demand. Seller Inventory # __1009315072

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