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Piet De Jong - Generalized Linear Models for Insurance Data
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Piet De Jong – Generalized Linear Models for Insurance Data

  • Patricia Melin – Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
  • Mario Faliva - Dynamic Model Analysis (2nd Ed.)

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Category: Everythings Else Tags: Course, Generalized Linear Models for Insurance Data, Piet De Jong, Piet De Jong - Generalized Linear Models for Insurance Data, Trading
  • Patricia Melin – Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
  • Mario Faliva - Dynamic Model Analysis (2nd Ed.)
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Piet De Jong – Generalized Linear Models for Insurance Data

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This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM.

The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website.

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Over the last 5 years we have helped over 5000 members save a great deal of money on buying online courses, By changing the internal values which are ​​more about member benefits, we have created a completely superior upgrade version with various features as well as the automatic system that surely will offer you a new different experience with more benefits , more time, and cost reduction. Let’s start to see what we have.

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