: 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. Regression: Models, Methods and Applications
: A flexible framework for modeling complex data structures. : Written at an intermediate mathematical level, the
: Selection of methods is heavily influenced by the availability of user-friendly statistical software, making it highly practical for researchers. Regression: Models, Methods and Applications
: Includes mathematical appendices covering matrix algebra, probability calculus, and statistical inference to assist readers with the necessary background.