Cantitate/Preț
Produs
Total produse
Vezi coșul
Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition de Youngjo Lee

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, Second Edition: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Autor Youngjo Lee, John A. Nelder, Yudi Pawitan
en Limba Engleză Paperback – 30 iun 2021
This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in variable selection and multiple testing, and new examples and applications. It includes an R package for all the methods and examples that supplement the book.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 43472 lei  6-8 săpt.
  CRC Press – 30 iun 2021 43472 lei  6-8 săpt.
Hardback (1) 77744 lei  6-8 săpt.
  CRC Press – 4 aug 2017 77744 lei  6-8 săpt.

Din seria Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Preț: 43472 lei

Nou

Puncte Express: 652
Preț estimativ în valută:
8320€ • 8642$ • 6911£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781032096636
ISBN-10: 1032096632
Pagini: 466
Ilustrații: 69 Illustrations, black and white
Dimensiuni: 152 x 229 x 24 mm
Greutate: 0.63 kg
Ediția:Nouă
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Locul publicării:Boca Raton, United States

Cuprins

Preface to the first edition


Preface


Introduction


Classical likelihood theory


Generlized linear models


Quasi-likelihood


Extended likelihood inferences


Normal linear mixed models


Hierarchical GLMS


HGLMs with structured dispersion


Correlated randoms effects for HGLMs


Smoothing


Double HGLMs


Variable Selection and Sparsity Models


Multivariate and Missing Data Analysis


Multiple testing


References


Data index


Author index


Subject index

Notă biografică

Youngjo Leeis Professor at Seoul National University, South Korea.

Recenzii

"Generalized Linear Models with Random Effects is a comprehensive book on likelihood methods in generalized linear models (GLMs) including linear models with normally distributed errors. … The book is suitable for those with graduate training in mathematical statistics. The level of mathematical detail is similar to that of McCullagh and Nelder (1989), with the focus shifted towards likelihood methods. All chapters contain examples with a fair amount of detail. The book is very broad and offers a comprehensive overview of likelihood methods."
—Christiana Drake, in ISCB News, December 2018
Praise for the first edition:
"… This book provides a comprehensive summary of [the authors' past work]. However, it is much more than that, and even statisticians who do not agree with their approach to inference will find much here of interest. … some instructors might find this to be a useful text for a course on generalized linear models. … there are many ideas that will be useful for students to mull over …"
– A. Agresti (University of Florida), Short Book Reviews
"The book is well written and replete with examples and discussions. With over 500 references, the authors have amassed an enormous amount of information in a single source."
– James W. Hardin, University of South Carolina, in Journal of the American Statistical Association, June 2009, Vol. 104, No. 486
"The book’s material is valuable . . . There are numerous examples and applications, illustrated on the accompanying Genstat CD."
– Hassan S. Bakouch, Tanta University, in Journal of Applied Statistics, September 2007, Vol. 34, No. 7
 

Descriere

This is the second edition of a monograph on generalized linear models with random effects that extends the classic work of McCullagh and Nelder. It has been thoroughly updated, with around 80 pages added, including new material on the extended likelihood approach that strengthens the theoretical basis of the methodology, new developments in var