Boekstra.nl - Stasinopoulos, Mikis D. (University of Greenwich), Kneib, Thomas (Georg-August-Universitat, Klein, Nadja (Technische Universitat Dortmund), Mayr, Andreas (Rheinische Friedrich-Wilhelms-Universitat Bonn) - Generalized Additive Models for Location, Scale and Shape

Generalized Additive Models for Location, Scale and Shape

A Distributional Regression Approach, with Applications

Stasinopoulos, Mikis D. (University of Greenwich), Kneib, Thomas (Georg-August-Universitat, Klein, Nadja (Technische Universitat Dortmund), Mayr, Andreas (Rheinische Friedrich-Wilhelms-Universitat Bonn) - Generalized Additive Models for Location, Scale and Shape

Omschrijving

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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Schrijver: Stasinopoulos, Mikis D. (University of Greenwich), Kneib, Thomas (Georg-August-Universitat, Klein, Nadja (Technische Universitat Dortmund), Mayr, Andreas (Rheinische Friedrich-Wilhelms-Universitat Bonn)
Titel: Generalized Additive Models for Location, Scale and Shape
Uitgever: Cambridge University Press

Jaar: 2024
Taal: Engels
Pagina's: 306
Gewicht: 758 gr

EAN: 9781009410069
Afmetingen: 186 x 264 x 28 mm
Bindwijze: Hardback

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Generalized Additive Models for Location, Scale and Shape

A Distributional Regression Approach, with Applications

Omschrijving

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