Generalized Additive Models for Location, Scale and Shape: A Distributional Regressio... (Bog, Hardback, Engelsk)
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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

(Bog, Hardback, Engelsk)
Forfattere: Mikis D. (University of Greenwich) Stasinopoulos, Thomas (Georg-August-Universitat Kneib, Nadja (Technische Universitat Dortmund) Klein, Andreas (Rheinische Friedrich-Wilhelms-Universitat Bonn) Mayr, Gillian Z. (University of Sydney) Heller
Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications
Forlag: Cambridge University Press

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Beskrivelse

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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Alle detaljer

Forlag Cambridge University Press
Forfattere Mikis D. (University of Greenwich) Stasinopoulos, Thomas (Georg-August-Universitat Kneib, Nadja (Technische Universitat Dortmund) Klein, Andreas (Rheinische Friedrich-Wilhelms-Universitat Bonn) Mayr, Gillian Z. (University of Sydney) Heller
Type Bog
Format Hardback
Sprog Engelsk
Udgivelsesdato 29-02-2024
Første udgivelsesår 2024
Serie Cambridge Series in Statistical and Probabilistic Mathematics
Illustrationer Worked examples or Exercises
Originalsprog United Kingdom
Sideantal 306
Indbinding Hardback
Forlag Cambridge University Press
Sideoplysninger 306 pages, Worked examples or Exercises
Mål 186 x 264 x 28
ISBN-13 / EAN-13 9781009410069