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Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions - Springer Actuarial Michel Denuit 2019 edition
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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
| Médium | Knihy Paperback Book (Kniha s mäkkou väzbou a lepeným chrbtom) |
| Vydané | 18. septembra 2019 |
| ISBN13 | 9783030258191 |
| Vydavatelia | Springer Nature Switzerland AG |
| Strany | 441 |
| Rozmery | 238 × 159 × 27 mm · 710 g |
| Jazyk | Nemčina |
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