Introduction: Scope of the Book and Applications
This introductory chapter begins with a discussion of semiparametric regression covering generalized linear models, generalized additive models, semiparametric mixed models, and spatial regression models. It then presents a number of examples that will serve as illustrations throughout the book. Together with the description of some of the key features of different data sets, the chapter also relates the previously discussed predictors and model classes to specific applications.
Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
If you think you should have access to this title, please contact your librarian.