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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications - Cambridge Series in Statistical and Probabilistic Mathematics Stasinopoulos, Mikis D. (University of Greenwich)
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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications - Cambridge Series in Statistical and Probabilistic Mathematics
Stasinopoulos, Mikis D. (University of Greenwich)
This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum likelihood, Bayesian and machine learning approaches are covered in-depth and contrasted, providing an integrated perspective on GAMLSS for researchers in statistics and other data-rich fields.
299 pages, Worked examples or Exercises
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2024. gada 29. februāris |
| ISBN13 | 9781009410069 |
| Izdevēji | Cambridge University Press |
| Lapas | 306 |
| Izmēri | 264 × 186 × 28 mm · 770 g |
| Valoda | Angļu |
