Regression: Models, — Methods And Applications

: The foundation for many statistical analyses.

(by Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, and Brian Marx) is a comprehensive textbook designed to bridge the gap between theoretical statistical foundations and practical data analysis. It serves as a unified introduction to various regression techniques, moving from standard linear models to advanced modern methodologies. Key Features Regression: Models, Methods and Applications

: Written at an intermediate mathematical level, the text is accessible to students and practitioners with basic knowledge of calculus and probability. : The foundation for many statistical analyses

: For handling non-normal response variables. Regression: Models, Methods and Applications

: A flexible framework for modeling complex data structures.