Generalized Linear Models with Random Effects
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A01=John A. Nelder
A01=Youngjo Lee
A01=Yudi Pawitan
Adjusted Profile Likelihood
advanced random effects modeling
Author_John A. Nelder
Author_Youngjo Lee
Author_Yudi Pawitan
Bayesian inference
Canonical Scale
Category=PBT
Classical Likelihood
Data Set
Deviance Residual
Discrete Random Effects
Dispersion Parameters
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
EQL
Extended Likelihood
Frailty Models
HGLM Model
hierarchical models
IWLS Algorithm
Joint Maximization
Linear Predictor
Log Ui
Marginal Likelihood
Marginal Loglihood
missing data techniques
Mixed Linear Model
Ml Estimator
multivariate analysis
Normal Probability Plot
Predictive Probabilities
Profile Likelihood
R programming methods
Random Effect Models
REML Estimator
St Im
statistical modeling
Product details
- ISBN 9781032096636
- Weight: 860g
- Dimensions: 152 x 229mm
- Publication Date: 30 Jun 2021
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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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.
Youngjo Lee is Professor at Seoul National University, South Korea.
