Mediocre 发表于 2025-3-26 23:23:01

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Proclaim 发表于 2025-3-27 01:14:39

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PRO 发表于 2025-3-27 08:36:32

,Das Reichselektrizitätsmonopol,y results in correlation among the responses within the same group, casting doubts about the outputs of analyses assuming mutual independence. Random effects offer a convenient way to model such grouping structure. This chapter presents the Generalized Linear Mixed Model (GLMM) approach to regressio

Crohns-disease 发表于 2025-3-27 09:50:02

,Die Landes-Versicherungsämter,eatures coded by means of binary variables. However, this assumption becomes questionable for continuous features which may have a nonlinear effect on the score scale. This chapter is devoted to Generalized Additive Models (GAMs) which keep the additive decomposition of the score but allow the actua

售穴 发表于 2025-3-27 16:42:27

https://doi.org/10.1007/978-3-642-94474-1ion, scale, shape or probability mass at the origin, for instance. This allows the actuary to let the available information enter other dimensions of the response, such as volatility or no-claim probability. The double GLM setting supplements GLMs with dispersion modeling, letting the dispersion par

出处 发表于 2025-3-27 20:47:19

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dysphagia 发表于 2025-3-27 22:13:58

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宽大 发表于 2025-3-28 04:46:49

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拖债 发表于 2025-3-28 06:18:43

Springer Actuarialhttp://image.papertrans.cn/e/image/302810.jpg

钢盔 发表于 2025-3-28 12:48:42

Effective Statistical Learning Methods for Actuaries I978-3-030-25820-7Series ISSN 2523-3262 Series E-ISSN 2523-3270
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查看完整版本: Titlebook: Effective Statistical Learning Methods for Actuaries I; GLMs and Extensions Michel Denuit,Donatien Hainaut,Julien Trufin Textbook 2019 Spri