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Titlebook: Modern Actuarial Risk Theory; Using R Rob Kaas,Marc Goovaerts,Michel Denuit Textbook 2008Latest edition Springer-Verlag Berlin Heidelberg 2

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發(fā)表于 2025-3-21 18:31:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Modern Actuarial Risk Theory
副標題Using R
編輯Rob Kaas,Marc Goovaerts,Michel Denuit
視頻videohttp://file.papertrans.cn/637/636888/636888.mp4
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
圖書封面Titlebook: Modern Actuarial Risk Theory; Using R Rob Kaas,Marc Goovaerts,Michel Denuit Textbook 2008Latest edition Springer-Verlag Berlin Heidelberg 2
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
關(guān)鍵詞Actuarial Statistics; Insurance Mathematics; Non-life Insurance; Risk Theory; STATISTICA; mathematical st
版次2
doihttps://doi.org/10.1007/978-3-540-70998-5
isbn_softcover978-3-642-03407-7
isbn_ebook978-3-540-70998-5
copyrightSpringer-Verlag Berlin Heidelberg 2008
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https://doi.org/10.1007/978-3-540-70998-5Actuarial Statistics; Insurance Mathematics; Non-life Insurance; Risk Theory; STATISTICA; mathematical st
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f 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..978-3-642-03407-7978-3-540-70998-5
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Textbook 2008Latest editioneveloping 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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https://doi.org/10.1007/978-3-322-96299-7it Vielfalt, Fairness und Chancengleichheit besch?ftigen und ein Schema vorgestellt, wie Diversity Management als organisationale Strategie implementiert werden kann. Die Modelle bilden eine konzeptionelle Grundlage für die Auswertung organisationaler Praktiken im Rahmen von sechs Fallstudien von Ei
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