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Modern Actuarial Risk Theory: Using R, by Rob Kaas, Marc Goovaerts, Jan Dhaene, Michel Denuit
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Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics. This second and much expanded edition emphasizes the implementation of these techniques through the use of R. This free but incredibly powerful software is rapidly developing into the de facto standard for statistical computation, not just in academic circles but also in practice. With R, one can do simulations, find maximum likelihood estimators, compute distributions by inverting transforms, and much more.
- Sales Rank: #1421521 in Books
- Brand: Brand: Springer
- Published on: 2010-06-02
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .91" w x 6.10" l, 1.23 pounds
- Binding: Paperback
- 382 pages
- Used Book in Good Condition
Review
From the reviews of the second edition:
"The book gives a comprehensive survey of non-life insurance mathematics. … Originally written for use with the actuarial science programs at the Universities of Amsterdam and Leuven, it is now in use at many other universities as well as for the non-academic actuarial education program organized by the Dutch Actuarial Society. The methods presented can not only be used in non-life insurance, but also in other branches of actuarial science, as well as in actuarial practice." (Pavel Stoynov, Zentralblatt MATH, Vol. 1148, 2008)
“This book gives an introduction to non-life insurance mathematics. … Throughout the book, the software R is used for the implementation of the techniques presented. One finds also many exercises with hints for their solution in an appendix.” (F. Hofbauer, Monatshefte f�r Mathematik, Vol. 161 (1), August, 2010)
From the Back Cover
Modern Actuarial Risk Theory contains what every actuary needs to know about non-life�insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics.
This second and much expanded edition emphasizes the implementation of these techniques through the use of R. This free but incredibly powerful software is rapidly developing into the de facto standard for statistical computation, not just in academic circles but also in practice. With R, one can do simulations, find maximum likelihood estimators, compute distributions by inverting transforms, and much more.
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Most helpful customer reviews
0 of 0 people found the following review helpful.
Good Reference
By Antonio Cecilio Miranda Tejeida
This was my reference book back when I was at school, I believe that most of te code in the book will show you how many statistical techniques (like fitting distributions) are implemente in many R packages such as fitdistrplus, it has solid explanations on both theoretical and practical aspects, it covers superficially the use of glm in insurance (for more detailed use of GLM check Non-Life Insurance Pricing with GLM) and it cover basics of ruin theory.
0 of 0 people found the following review helpful.
as if the writers were in a great hurry or really did not proofread
By R. Johnson
The book is NOT well structured, and the text is definitely not well written.
The material is too dense with various strange statements that are incomprehensible,
as if the writers were in a great hurry or really did not proofread , not even once.
Notation is dropped around like free pies, it is so easy to get confused when moving from section to section.
I do not recommend this book at all.
0 of 0 people found the following review helpful.
Great Text
By Robert L McPherson
This is a great text, full of examples in addition to clear explanations of theory. It is very helpful to have the R code to see the implementation of the mechanics behind the formulas.
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