Data Analysis Using Hierarchical Generalized Linear Models with R - Rilegato

Lee, Youngjo; Ronnegard, Lars; Noh, Maengseok

 
9781138627826: Data Analysis Using Hierarchical Generalized Linear Models with R
Rilegato
ISBN 10: 1138627828 ISBN 13: 9781138627826
Casa editrice: Chapman and Hall/CRC, 2017

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Youngjo Lee is a professor in the department of Statistics at Seoul National University, Korea. His current research interests are extension, application, theory and software developments for HGLMs.

Lars Rönnegård is affiliated with the Microdata Analysis group at Dalarna University, Sweden. His current research interests are applications of HGLMs in genetics and ecology, and computational aspects.

Maengseok Noh is a professor in the Department of Statistics at Pukyong National University, Korea. His current research interests are application and software developments for HGLMs.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Chapman and Hall/CRC
Data di pubblicazione
2017
Lingua
Inglese
ISBN 10 
1138627828
ISBN 13 
9781138627826
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
334
Contatto del produttore
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Germania

Altre edizioni note dello stesso titolo

9780367657925: Data Analysis Using Hierarchical Generalized Linear Models with R

Edizione in evidenza

ISBN 10:  0367657929 ISBN 13:  9780367657925
Casa editrice: Chapman and Hall/CRC, 2020
Brossura