Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions - Springer Actuarial - Michel Denuit - Books - Springer Nature Switzerland AG - 9783030258191 - September 18, 2019
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Michel Denuit
Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions - Springer Actuarial 2019 edition

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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). Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS).

441 pages, 23 Illustrations, color; 59 Illustrations, black and white; XVI, 441 p. 82 illus., 23 ill

Media Books     Paperback Book   (Book with soft cover and glued back)
Released September 18, 2019
ISBN13 9783030258191
Publishers Springer Nature Switzerland AG
Pages 441
Dimensions 238 × 159 × 27 mm   ·   710 g
Language German  

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