Generalized Additive Models

Discover the remarkable world of Generalized Additive Models with the insightful book by Simon N. Wood. Published in 2017 and spanning an impressive 496 pages, this text is a comprehensive resource for both beginners and seasoned statisticians. The first edition has become a cornerstone reference for understanding GAMs, uniquely offering a practical introduction complemented by a wealth of examples and software applications.

Wood expertly guides readers through foundational concepts in linear models, linear mixed models, and generalized linear models, all before delving into the intricate theory and applications of GAMs. His innovative approach, centered on penalized regression splines, effortlessly bridges the gap between theory and practical implementation. Whether you are keen to enhance your statistical knowledge or integrate these models into your research, "Generalized Additive Models" will equip you with the essential tools and understanding needed in this dynamic field.