Limit search to available items
Book Cover
E-book
Author Lee, Youngjo, author

Title Data analysis using hierarchical generalized linear models with R / Youngjo Lee, Lars Rönnegård, Maengseok Noh
Published Boca Raton : CRC Press, Taylor & Francis Group, [2017]
©2017
Online access available from:
ProQuest Ebook Central Subscription    View Resource Record  

Copies

Description 1 online resource (xii, 321 pages) : illustrations
Contents Introduction -- GLMs via iterative weighted least squares -- Inference for models with unobservables -- HGLMs: from method to algorithm -- HGLMs modeling in R -- Double HGLMs -- using the dhglm package -- Fitting multivariate HGLMs -- Survival analysis -- Joint models -- Further topics
Summary Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs, factor and structural equation models, robust modelling of random effects, models including penalty and variable selection and hypothesis testing. This example-driven book is aimed primarily at researchers and graduate students, who wish to perform data modelling beyond the frequentist framework, and especially for those searching for a bridge between Bayesian and frequentist statistics
Bibliography Includes bibliographical references and indexes
Notes Print version record
Subject Linear models (Statistics) -- Textbooks
Multilevel models (Statistics) -- Textbooks
R (Computer program language)
Linear models (Statistics)
MATHEMATICS -- Applied.
MATHEMATICS -- Linear & Nonlinear Programming.
MATHEMATICS -- Probability & Statistics -- General.
Multilevel models (Statistics)
R (Computer program language)
Genre/Form Textbooks.
Form Electronic book
Author Noh, Maengseok, author
Rönnegård, Lars, 1970- author
ISBN 1315211068 (e-book master)
135181155X (electronic bk.)
1351811568 (electronic bk.)
9781315211060 (e-book master)
9781351811552 (electronic bk.)
9781351811569 (electronic bk.)
(hardcover ; alk. paper)
(mobi/kindle)
(hardcover ; alk. paper)
(mobi/kindle)
(e-pub)