Generalized, linear, and mixed models
Charles E. McCulloch, Shayle R. Searle.
New York : John Wiley & Sons, 2001.
xxi, 325 págs. : ilustraciones ; 25 cm.
Serie: Wiley series in probability and statistics. Applied probability and statistics section
ISBN: 047119364X
Incluye referencias bibliográficas e índice.
Reseña: MathSciNet, 2002k:62004
Contenido
- Introduction
- One-Way Classifications
- Single-Predictor Regression
- Linear Models (LMs)
- Generalized Linear Models (GLMs)
- Linear Mixed Models (LMMs)
- Longitudinal Data
- GLMMs
- Prediction
- Computing
- Nonlinear Models.