Bridging the gap between theory and practice for modern statistical model building, Introduction to General and Generalized Linear Models presents likelihood-based techniques for statistical modelling using various types of data. Implementations using R are provided throughout the text, although other software packages are also discussed. Numerous

chapter 1|8 pages


chapter 2|32 pages

The likelihood principle

chapter 3|46 pages

General linear models

chapter 4|70 pages

Generalized linear models

chapter 5|68 pages

Mixed effects models

chapter 6|20 pages

Hierarchical models

chapter 7|10 pages

Real life inspired problems