Generalized, Linear, and Mixed Models

This work delves into the complexities of statistical modeling, offering readers a comprehensive exploration of generalized, linear, and mixed models. The authors present intricate concepts with clarity, ensuring accessibility for both beginners and experienced statisticians.

The book emphasizes practical applications, providing a solid foundation in various modeling techniques that are essential for analyzing complex data structures commonly encountered in many fields, particularly in the social and biomedical sciences.

Readers will appreciate the blend of theoretical foundations and practical examples, making it a valuable resource for anyone looking to deepen their understanding of advanced statistical methodologies.