Nonparametric Regression and Generalized Linear Models

Discover the intricacies of statistical modeling with Nonparametric Regression and Generalized Linear Models by P.J. Green. Published in 1993 by Taylor & Francis Ltd, this comprehensive hardback edition spans 194 pages, offering a deep dive into advanced regression techniques. This essential resource covers a variety of topics, including innovative approaches to regression, roughness penalties, and their extensions. Readers will also explore the computational aspects of estimating models, as well as methods for interpolating and smoothing splines in both one-dimensional and partial spline contexts. Ideal for statisticians, data scientists, and researchers, this book provides the theoretical foundations and practical applications necessary for mastering nonparametric regression and generalized linear models. Enhance your understanding of these critical statistical methods and elevate your data analysis skills with this authoritative guide.