Effective Statistical Learning Methods for Actuaries I GLMs and Extensions

Effective Statistical Learning Methods for Actuaries I GLMs and Extensions

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)

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Bibliographic Details
Main Authors:	Denuit, Michel (Author), Hainaut, Donatien (Author), Trufin, Julien (Author)
Format:	Book
Language:	English
Published:	Switzerland Springer Nature 2019
Edition:	Print Book, English, 2019
Series:	Springer actuarial
Subjects:	Actuarial science Insurance > Statistical methods Linear models (Statistics) Statistics
Online Access:	Click Here to View Status and Holdings.
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Description
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)
Physical Description:	xvi, 441 pages illustrations (some color) 24 cm
Bibliography:	Includes bibliographical references
ISBN:	3030258207 9783030258191