Nonparametric Regression and Generalized Linear Models: A roughness penalty approach

Cox, D.R. (Series edited by)/ Reid, N. (Series edited by)/ Isham, Valerie (Series edited by)/ Tibshirani, R.J. (Series edited by)/ Louis, Thomas A. (Series edited by)/ Tong, Howell (Series edited by)/ Keiding, Niels (Series edited by)/ Green, P.J. (Author)/ Silverman, Bernard. W. (Author)

ISBN 10: 0412300400 / ISBN 13: 9780412300400

Edité par Chapman & Hall, 1994

A propos de cet article

1st edition. 184 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand.

N° de réf. du vendeur __0412300400

Détails bibliographiques

• Titre: Nonparametric Regression and Generalized Linear Models: A roughness penalty approach
• Éditeur: Chapman & Hall
• Date de parution: 1994
• Langue: anglais
• ISBN à 10 chiffres: 0412300400
• ISBN à 13 chiffres: 9780412300400
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

P.J. Green, Bristol Univesity. Bernard. W. Silverman St. Peters College, Oxford.