An introduction of regression models from first principles, i.e., a complete and comprehensive introduction to the linear model in Chaps. 3, 4, and 10
A coverage of the entire range of regression models starting with linear models, covering generalized linear and mixed models and also including (generalized)additive models and quantile regression
A presentation of both frequentist and Bayesian approaches to regression
The inclusion of a large number of worked out examples and case studies
Although the book is written in textbook style suitable for students, the material is close to current research on advanced regression analysis
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