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Generalized Additive Models for Location, Scale and Shape: Cambridge Series in Statistical and Probabilistic Mathematics

Autor Andreas Mayr, Gillian Z. Heller, Mikis D. Stasinopoulos, Nadja Klein, Thomas Kneib
en Limba Engleză Hardback – 29 feb 2024
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.
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Specificații

ISBN-13: 9781009410069
ISBN-10: 1009410067
Pagini: 306
Ilustrații: Worked examples or Exercises
Dimensiuni: 186 x 259 x 26 mm
Greutate: 0.75 kg
Editura: Cambridge University Press
Seria Cambridge Series in Statistical and Probabilistic Mathematics