Nonlife actuarial models : theory, methods and evaluation
Author(s)
Bibliographic Information
Nonlife actuarial models : theory, methods and evaluation
(International series on actuarial science)
Cambridge University Press, 2023
2nd ed
- : hbk
Available at 1 libraries
  Aomori
  Iwate
  Miyagi
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  Fukushima
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  Gunma
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  Tokyo
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
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  United States of America
Note
First published 2009
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
- Preface
- Notation and convention
- Part I. Loss Models: 1. Claim-frequency distribution
- 2. Claim-severity distribution
- 3. Aggregate-loss models
- Part II. Risk and Ruin: 4. Risk measures
- 5. Ruin theory
- Part III. Credibility: 6. Classical credibility
- 7. Buhlmann credibility
- 8. Bayesian approach
- 9. Empirical implementation of credibility
- Part IV. Model Construction and Evaluation: 10. Model estimation and types of data
- 11. Nonparametric model estimation
- 12. Parametric model estimation
- 13. Model evaluation and selection
- 14. Basic Monte Carlo methods
- 15. Applications of Monte Carlo methods
- Part V. Loss reserving and ratemaking: 16. Loss reserving
- 17. Ratemaking
- Appendix: review of statistics
- Answers to Exercises
- References
- Index.
by "Nielsen BookData"