Buch, Englisch, 352 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 661 g
Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Buch, Englisch, 352 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 661 g
Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
ISBN: 978-0-412-34390-2
Verlag: Chapman and Hall/CRC
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Preface. Introduction. Smoothing. Smoothing in Detail. Additive Models. Some Theory for Additive Models. Generalized Additive Models. Response Transformation Models. Extensions to Other Settings. Further Topics. Case Studies. Appendices. References. Author Index. Subject Index.