Name: Multivariate Generalized Linear Mixed Models Using r (en Inglés)
Price: 82.89 USD
Availability: InStock
Author: Damon Mark Berridge; Robert Crouchley
ISBN: 9781032922805

portada Multivariate Generalized Linear Mixed Models Using r (en Inglés)

Multivariate Generalized Linear Mixed Models Using r (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Damon Mark Berridge; Robert Crouchley

Idioma

Inglés

N° páginas

304

Encuadernación

Tapa Blanda

ISBN13

9781032922805

N° edición

Multivariate Generalized Linear Mixed Models Using r (en Inglés)

Damon Mark Berridge; Robert Crouchley (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Multivariate Generalized Linear Mixed Models Using r (en Inglés)"

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and related studies via the Sabre software package in R.A Unified Framework for a Broad Class of Models The authors first discuss members of the family of generalized linear models, gradually adding complexity to the modeling framework by incorporating random effects. After reviewing the generalized linear model notation, they illustrate a range of random effects models, including three-level, multivariate, endpoint, event history, and state dependence models. They estimate the multivariate generalized linear mixed models (MGLMMs) using either standard or adaptive Gaussian quadrature. The authors also compare two-level fixed and random effects linear models. The appendices contain additional information on quadrature, model estimation, and endogenous variables, along with SabreR commands and examples. Improve Your Longitudinal StudyIn medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this book explains the statistical theory and modeling involved in longitudinal studies. Many examples throughout the text illustrate the analysis of real-world data sets. Exercises, solutions, and other material are available on a supporting website.