Ordering of Actuarial Risks
Author: R. Kaas
Publisher:
Published: 1994
Total Pages: 144
ISBN-13: 9789074958011
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Author: R. Kaas
Publisher:
Published: 1994
Total Pages: 144
ISBN-13: 9789074958011
DOWNLOAD EBOOKAuthor: M. J. Goovaerts
Publisher:
Published: 1980
Total Pages: 11
ISBN-13:
DOWNLOAD EBOOKAuthor: Rob Kaas
Publisher: Springer Science & Business Media
Published: 2008-12-03
Total Pages: 394
ISBN-13: 3540867368
DOWNLOAD EBOOKModern 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.
Author: Angela van Heerwaarden
Publisher: Thesis Pub
Published: 1991
Total Pages: 159
ISBN-13: 9789051701227
DOWNLOAD EBOOKAuthor: Rob Kaas
Publisher: Springer Science & Business Media
Published: 2008-08-17
Total Pages: 394
ISBN-13: 3540709983
DOWNLOAD EBOOKModern 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.
Author: Alan John Baker
Publisher:
Published: 1985
Total Pages: 29
ISBN-13:
DOWNLOAD EBOOKAuthor: Alfred Müller
Publisher:
Published: 1995
Total Pages: 28
ISBN-13:
DOWNLOAD EBOOKAuthor: Rob Kaas
Publisher:
Published: 1995
Total Pages: 20
ISBN-13:
DOWNLOAD EBOOKAuthor: Ludger Rüschendorf
Publisher:
Published: 2003
Total Pages: 26
ISBN-13:
DOWNLOAD EBOOKAuthor: Bart Kling
Publisher:
Published: 1992
Total Pages: 20
ISBN-13:
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