Modern Actuarial Risk Theory
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, or...
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2017
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oai:112.137.131.14:VNU_123-282442020-05-13T01:40:52Z Modern Actuarial Risk Theory Kaas, R. Goovaerts, M. Dhaene, J. Denuit, M. Business and Economics 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. 2017-04-14T01:46:19Z 2017-04-14T01:46:19Z 2008 Book 978-3-540-70992-3 http://repository.vnu.edu.vn/handle/VNU_123/28244 en 394 p. application/pdf Springer |
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Business and Economics |
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Business and Economics Kaas, R. Goovaerts, M. Dhaene, J. Denuit, M. Modern Actuarial Risk Theory |
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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. |
format |
Book |
author |
Kaas, R. Goovaerts, M. Dhaene, J. Denuit, M. |
author_facet |
Kaas, R. Goovaerts, M. Dhaene, J. Denuit, M. |
author_sort |
Kaas, R. |
title |
Modern Actuarial Risk Theory |
title_short |
Modern Actuarial Risk Theory |
title_full |
Modern Actuarial Risk Theory |
title_fullStr |
Modern Actuarial Risk Theory |
title_full_unstemmed |
Modern Actuarial Risk Theory |
title_sort |
modern actuarial risk theory |
publisher |
Springer |
publishDate |
2017 |
url |
http://repository.vnu.edu.vn/handle/VNU_123/28244 |
_version_ |
1680967981380665344 |