Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

An emerging field in statistics, distributional regression facilitates the modelling of the complete conditional distribution, rather than...
€138,71 EUR
€138,71 EUR
SKU: 9781009410069
Product Type: Books
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Author: Mikis D. Stasinopoulos
Format: Hardcover
Language: English
Subtotal: €138,71
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Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications by Stasinopoulos, Mikis D.

Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

€138,71

Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications

€138,71
Author: Mikis D. Stasinopoulos
Format: Hardcover
Language: English
An emerging field in statistics, distributional regression facilitates the modelling of the complete conditional distribution, rather than just the mean. This book introduces generalized additive models for location, scale and shape (GAMLSS) - one of the most important classes of distributional regression. Taking a broad perspective, the authors consider penalized likelihood inference, Bayesian inference, and boosting as potential ways of estimating models and illustrate their usage in complex applications. Written by the international team who developed GAMLSS, the text's focus on practical questions and problems sets it apart. Case studies demonstrate how researchers in statistics and other data-rich disciplines can use the model in their work, exploring examples ranging from fetal ultrasounds to social media performance metrics. The R code and data sets for the case studies are available on the book's companion website, allowing for replication and further study.

Author: Mikis D. Stasinopoulos, Thomas Kneib, Nadja Klein
Publisher: Cambridge University Press
Published: 02/29/2024
Pages: 306
Binding Type: Hardcover
Weight: 1.65lbs
Size: 10.00h x 7.00w x 0.75d
ISBN: 9781009410069

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