Effective Statistical Learning Methods for Actuaries I is popular PDF and ePub book, written by Michel Denuit in 2019-09-03, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Effective Statistical Learning Methods for Actuaries I can be Read Online from any device for your convenience.
Effective Statistical Learning Methods for Actuaries I Book PDF Summary
This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.
Detail Book of Effective Statistical Learning Methods for Actuaries I PDF
- Author : Michel Denuit
- Release : 03 September 2019
- Publisher : Springer Nature
- ISBN : 9783030258207
- Genre : Business & Economics
- Total Page : 441 pages
- Language : English
- PDF File Size : 13,5 Mb
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