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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2019. gada 18. septembris |
| ISBN13 | 9783030258191 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 441 |
| Izmēri | 238 × 159 × 27 mm · 710 g |
| Valoda | Vācu |
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