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Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions - Springer Actuarial Michel Denuit 2019 edition
Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions - Springer Actuarial
Michel Denuit
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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