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Actuarial Science Textbook
Actuarial Mathematics for Life Contingent Risks
Nonlife Actuarial Models
Second edition David C. M. Dickson
Theory, Methods and Evaluation Yiu-Kuen Tse
University of Melbourne
Singapore Management University
Mary R. Hardy
Actuaries must pass exams, but more than that: they must put knowledge into practice. This coherent textbook gives complete syllabus coverage for Exam C of the Society of Actuaries (SOA) while emphasizing the concepts and practical application of nonlife actuarial models. It has also been class-tested for undergraduate university courses.
University of Waterloo, Ontario
and Howard R. Waters Heriot-Watt University, Edinburgh
Three leaders in actuarial science give a modern perspective on life contingencies. Balancing rigour and intuition, and emphasizing applications, it is ideal for university courses and actuarial exam preparation. This second edition includes new chapters and exercises to help prepare for the MLC Models for Life Contingencies exam. Review of the first edition: ‘… well written, well organized, and easy to read. … an excellent textbook for both undergraduate and graduate programs in actuarial science. It is also a rich source of useful information for practitioners of the actuarial profession and financial risk managers who seek a practical and inspiring guide to liability cash flow modeling and valuation.’ Scandinavian Actuarial Journal International Series on Actuarial Science
2013 228 x 152 mm 616pp 50 b/w illus. 90 tables 210 exercises 978-1-107-04407-4 Hardback £74.99 / US$99.99 For all formats available, see
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. Bühlmann 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; Appendix. Review of statistics; Answers to exercises; References; Index. ‘… a very good balance of rigor and readability makes this book an impressive encyclopedia of results and methods for nonlife actuarial modeling.’ Zentralblatt MATH
www.cambridge.org/9781107044074
International Series on Actuarial Science
Solutions Manual for Actuarial Mathematics for Life Contingent Risks
For all formats available, see
Second edition David C. M. Dickson University of Melbourne
Mary R. Hardy University of Waterloo, Ontario
and Howard R. Waters Heriot-Watt University, Edinburgh
A must-have manual providing solutions to all exercises in the authors’ groundbreaking text, which is required reading for the Society of Actuaries (SOA) Exam MLC, covering virtually the whole syllabus for the UK Subject CT5 exam. Over two hundred solutions provide insight and exam preparation. Companion spreadsheets are freely available online. International Series on Actuarial Science
2013 228 x 152 mm 227pp 978-1-107-62026-1 Paperback £32.99 / US$40.99 For all formats available, see
www.cambridge.org/9781107620261
2009 228 x 152 mm 542pp 1 b/w illus. 55 tables 350 exercises 978-0-521-76465-0 Hardback £49.99 / US$89.99 www.cambridge.org/9780521764650
Generalized Linear Models for Insurance Data Piet de Jong Macquarie University, Sydney
and Gillian Z. Heller Macquarie University, Sydney
Actuaries should have the tools they need. Practical and rigorous, this book introduces generalized linear models in the actuarial context. All techniques are illustrated on data sets relevant to insurance. Exercises and data-based practicals allow skill consolidation. SAS
code and output, data sets, and exercise solutions are available on the website. International Series on Actuarial Science
2008 228 x 152 mm 208pp 34 b/w illus. 5 colour illus. 43 tables 25 exercises 978-0-521-87914-9 Hardback £70.00 / US$98.00 For all formats available, see
www.cambridge.org/9780521879149
Regression Modeling with Actuarial and Financial Applications Edward W. Frees University of Wisconsin, Madison
This book gives actuarial and finance students a foundation in multiple regression and time series, discussing advanced statistical topics that are relevant to actuarial and financial practice. It uses statistical techniques to analyze real data in risk management and finance. No specific knowledge of these areas is presumed. Contents: Part I. Linear Regression; Part II. Topics in Time Series; Part III. Topics in Nonlinear Regression; Part IV. Actuarial Applications. ‘It would be an ideal text for a semester – or a year-long course in applied statistical methods for actuarial science majors. … it would also be a welcome addition to the bookshelf of practicing actuaries at all levels, both actuarial students charged with conducting analyses for which the methods discussed in the book are most relevant, and senior managers who use such analyses as a basis for financial decision making … Perhaps my favorite part of Frees’ book is the final two chapters. If these fine essays do not already appear somewhere on the Society of Actuaries syllabus, they should be added immediately.’ Ronald C. Neath, The American Statistician International Series on Actuarial Science
2010 247 x 174 mm 584pp 139 b/w illus. 142 tables 89 exercises 978-0-521-76011-9 Hardback £108.00 / US$196.00 978-0-521-13596-2 Paperback £45.99 / US$77.00 For all formats available, see
www.cambridge.org/9780521760119