Practical Smoothing

Language: English

Published by Cambridge University Press, 2021

1108482953 / 9781108482950

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Druck auf Anfrage Neuware - Printed after ordering - This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with simple, discrete, roughness penalties. They were introduced by the authors in 1996 and have been used in many diverse applications. The regression basis makes it straightforward to handle non-normal data, like in generalized linear models. The authors demonstrate optimal smoothing, using mixed model technology and Bayesian estimation, in addition to classical tools like cross-validation and AIC, covering theory and applications with code in R. Going far beyond simple smoothing, they also show how to use P-splines for regression on signals, varying-coefficient models, quantile and expectile smoothing, and composite links for grouped data. Penalties are the crucial elements of P-splines; with proper modifications they can handle periodic and circular data as well as shape constraints. Combining penalties with tensor products of B-splines extends these attractive properties to multiple dimensions. An appendix offers a systematic comparison to other smoothers.

Seller Inventory # 9781108482950

Title
Practical Smoothing
Author
Brian D. Marx
Publisher
Cambridge University Press
Publication year
2021
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1108482953
ISBN 13
9781108482950
Item weight
465 grams
Dimensions
235x157x16 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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