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Nonparametric Regression and Generalized Linear Models: A roughness penalty

Description: In recent 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 and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method allows parametric assumptions to be realized in regression problems, in those approached by generalized linear modelling, and in many other contexts.The emphasis throughout is methodological rather than theoretical, and it concentrates on statistical and computation 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 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 other encountering the material for the first time.

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Nonparametric Regression and Generalized Linear Models: A roughness penaltyNonparametric Regression and Generalized Linear Models: A roughness penalty

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Restocking fee: No

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EAN: 9780412300400

UPC: 9780412300400

ISBN: 9780412300400

MPN: N/A

Book Title: Nonparametric Regression and Generalized Linear Mo

Item Length: 23.7 cm

Number of Pages: 184 Pages

Language: English

Publication Name: Nonparametric Regression and Generalized Linear Models: a Roughness Penalty Approach

Publisher: Taylor & Francis Ltd

Publication Year: 1993

Subject: Mathematics

Item Height: 229 mm

Item Weight: 417 g

Type: Textbook

Author: P.J. Green, Bernard. W. Silverman

Item Width: 152 mm

Format: Hardcover

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