The second edition of this textbook was released in 2021 by Springer , expanding its coverage of contemporary regression techniques. Regression: Models, Methods and Applications - Amazon.com
: Written at an intermediate mathematical level, the text is accessible to students and practitioners with basic knowledge of calculus and probability. Regression: Models, Methods and Applications
: Important definitions and key statements are highlighted in concise summary boxes for quick reference. The second edition of this textbook was released
: A flexible framework for modeling complex data structures. : A flexible framework for modeling complex data structures
: The book provides a cohesive framework that covers parametric, non-parametric, and semi-parametric regression models. Broad Scope of Models : It includes detailed discussions on:
: For handling non-normal response variables.
: Theoretical concepts are reinforced with numerous real-world data examples and case studies from social, economic, and life sciences.