Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R
Target Audience and Language Level
This learning material is intended for bachelor's students in statistics who have completed a course in multiple linear regression. The text is suitable for self-study and teaching, with no mathematical prior knowledge required. The content challenges students to a higher level by addressing complex topics in an accessible way.
Content and Applications
The book provides a comprehensive modeling toolkit for non-normal responses and the analysis of correlated data. Key themes include likelihood theory, zero-inflated Poisson models, and parametric bootstrapping. The case studies and exercises contain real research data, largely from collaborative projects of the authors and students.
Structure and Exercises
Each chapter contains various exercises, ranging from conceptual to open-ended, focused on understanding and application with real data. In this way, the student develops both theoretical knowledge and practical skills in statistical modeling.
Additional Materials
A solutions manual for instructors is available, and data sets with R Markdown files can be accessed via the authors. Intertaal is your reliable supplier and guarantees fast delivery of this valuable learning material.