Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Monographs on Statistics & Applied Probability) - Hardcover

Buch 2 von 110: ISSN

Green, P. J.; Silverman, Bernard. W.

 
9780412300400: Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Monographs on Statistics & Applied Probability)
Hardcover
ISBN 10: 0412300400 ISBN 13: 9780412300400
Verlag: Springer-Verlag GmbH, 1994

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

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

Von der hinteren Coverseite

Over the past 15 years there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method with the aim of showing how it provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be relaxed both in regression problems and in those approached by generalized linear modelling. The emphasis throughout is methodological rather than theoretical and concentrates on statistical and computational issues. Real data examples are used to illustrate the various methods and to compare them with standard parametric approaches. Some publicly available software is also discussed. The mathematical treatment is intended to be largely 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 and others encountering the material for the first time.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer-Verlag GmbH
Erscheinungsdatum
1994
Sprache
Englisch
ISBN 10 
0412300400
ISBN 13 
9780412300400
Einband
Gebundene Ausgabe
Anzahl der Seiten
196
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

Lengericher Landstr. 19
Osnabrück
Niedersachsen
49078
Deutschland