Generalized Additive Models for Location, Scale and Shape A Distributional Regression Approach, with Applications |
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Author:
| Stasinopoulos, Mikis D. Kneib, Thomas Klein, Nadja Mayr, Andreas Heller, Gillian Z. |
Series title: | Cambridge Series in Statistical and Probabilistic Mathematics Ser. |
ISBN: | 978-1-009-41007-6 |
Publication Date: | Feb 2024 |
Publisher: | Cambridge University Press
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Book Format: | Digital download and online |
List Price: | AUD $270.00 |
Book Description:
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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.
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.