Nonparametric Regression and Generalized Linear Models
A roughness penalty approach
1st Edition
Published on 1. May 1993
184 pages
978-1-040-07278-3 (ISBN)
Description
Nonparametric Regression and Generalized Linear Models focuses on the roughness penalty method of nonparametric smoothing and shows how this technique provides a unifying approach to a wide range of smoothing problems. The emphasis is methodological rather than theoretical, and the authors concentrate on statistical and computation issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. The mathematical treatment is self-contained and depends mainly on simple linear algebra and calculus. This monograph will be useful both as a reference work for research and applied statisticians and as a text for graduate students.
Reviews / Votes
"...provides an excellent introduction."- Short Book Reviews of the ISI
"It is well written and very reliable."
- Technometrics
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
ISBN-13
978-1-040-07278-3 (9781040072783)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
P.J. Green | Bernard. W. Silverman
Nonparametric Regression and Generalized Linear Models
A roughness penalty approach
Book
05/1993
1st Edition
Chapman & Hall/CRC
€263.40
Shipment within 10-20 days
Persons
P.J. Green, Bristol University. Bernard. W. Silverman St. Peters College, Oxford.
Content
Preface. Introduction. Approaches to Regression. Roughness Penalties. Extensions of the Roughness Penalty Approach. Computing the Estimates. Further Reading. Interpolating and Smoothing Splines. One-Dimensional Case: Further Topics. Partial Splines. Generalized Linear Models. Extending the Model. Thin Plate Splines. Available Software. Reference. Author Index. Subject Index.
