Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

This second edition of 'Extending the Linear Model with R' delves deeper into statistical modeling with a focus on generalized linear, mixed effects, and nonparametric regression models. Written by renowned statisticians Julian J. Faraway and Chantal Guihenneuc-Jouyaux, this book provides a comprehensive guide to advanced regression techniques using the R programming language. Perfect for statisticians, researchers, and data analysts looking to expand their knowledge and skills in statistical modeling, this text offers practical insights and real-world examples to enhance understanding and application. Dive into the world of sophisticated regression models with this essential resource.