Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions - Springer Actuarial - Michel Denuit - Knjige - Springer Nature Switzerland AG - 9783030258191 - 18. septembra 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

Medij Knjige     Paperback Book   (Knjiga z mehkimi platnicami in lepljenim hrbtom)
Izdano 18. septembra 2019
ISBN13 9783030258191
Založniki Springer Nature Switzerland AG
Strani 441
Dimenzije 238 × 159 × 27 mm   ·   710 g
Jezik Nemščina  

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