| 书目名称 | Modern Actuarial Risk Theory | | 副标题 | Using R | | 编辑 | Rob Kaas,Marc Goovaerts,Michel Denuit | | 视频video | | | 概述 | Reflects the state of the art in actuarial risk theory.Uses R, the de facto standard for statistical computation, for the illustration of the techniques applied.Presents practical paradigms in insuran | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Textbook 2008Latest edition | | 关键词 | Actuarial Statistics; Insurance Mathematics; Non-life Insurance; Risk Theory; STATISTICA; mathematical st | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-540-70998-5 | | isbn_softcover | 978-3-642-03407-7 | | isbn_ebook | 978-3-540-70998-5 | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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发表于 2025-3-21 18:31:36
