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: 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:
: A flexible framework for modeling complex data structures. Regression: Models, Methods and Applications
: Includes mathematical appendices covering matrix algebra, probability calculus, and statistical inference to assist readers with the necessary background. : The book provides a cohesive framework that
: Theoretical concepts are reinforced with numerous real-world data examples and case studies from social, economic, and life sciences. Regression: Models, Methods and Applications
: The foundation for many statistical analyses.
: 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:
: A flexible framework for modeling complex data structures.
: Includes mathematical appendices covering matrix algebra, probability calculus, and statistical inference to assist readers with the necessary background.
: Theoretical concepts are reinforced with numerous real-world data examples and case studies from social, economic, and life sciences.
: The foundation for many statistical analyses.