Beyond Multiple Linear Regression

Discover the intricate world of statistical modeling with Beyond Multiple Linear Regression by Paul Roback, published by Taylor & Francis Ltd in 2024. This comprehensive guide spans 418 pages, making it an essential resource for advanced undergraduate and non-major graduate students enrolled in courses like Advanced Statistical Modeling, Regression II, Generalized Linear Models, Longitudinal Data Analysis, and Multilevel Models.

Roback's book goes beyond traditional regression techniques, providing in-depth insights and practical applications. Each chapter includes valuable material on R, ensuring readers can implement concepts effectively. Additionally, a solutions manual is available for qualified instructors, enhancing the teaching experience. Whether you are looking to deepen your understanding of statistical methodologies or seeking to apply these techniques in real-world scenarios, this book is a must-have for your academic library.