Resistant Nonparametric Smoothing with S-PLUS

In this paper we introduce and illustrate the use of an S-PLUS set of functions to fit M-type smoothing splines with the smoothing parameter chosen by a robust criterion (either a robust version of cross-validation or a robust version of Mallows's Cp ). The main reference is: Cantoni, E. and Ro...

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Main Author: Eva Cantoni
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2004-04-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/1402
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spelling doaj-a8d4245628bc419788a8d53f3913d3ca2020-11-25T00:37:52ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602004-04-011011610.18637/jss.v010.i026Resistant Nonparametric Smoothing with S-PLUSEva CantoniIn this paper we introduce and illustrate the use of an S-PLUS set of functions to fit M-type smoothing splines with the smoothing parameter chosen by a robust criterion (either a robust version of cross-validation or a robust version of Mallows's Cp ). The main reference is: Cantoni, E. and Ronchetti, E. (2001). Resistant selection of the smoothing parameter for smoothing splines. Statistics and Computing, 11, 141-146.http://www.jstatsoft.org/index.php/jss/article/view/1402
collection DOAJ
language English
format Article
sources DOAJ
author Eva Cantoni
spellingShingle Eva Cantoni
Resistant Nonparametric Smoothing with S-PLUS
Journal of Statistical Software
author_facet Eva Cantoni
author_sort Eva Cantoni
title Resistant Nonparametric Smoothing with S-PLUS
title_short Resistant Nonparametric Smoothing with S-PLUS
title_full Resistant Nonparametric Smoothing with S-PLUS
title_fullStr Resistant Nonparametric Smoothing with S-PLUS
title_full_unstemmed Resistant Nonparametric Smoothing with S-PLUS
title_sort resistant nonparametric smoothing with s-plus
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2004-04-01
description In this paper we introduce and illustrate the use of an S-PLUS set of functions to fit M-type smoothing splines with the smoothing parameter chosen by a robust criterion (either a robust version of cross-validation or a robust version of Mallows's Cp ). The main reference is: Cantoni, E. and Ronchetti, E. (2001). Resistant selection of the smoothing parameter for smoothing splines. Statistics and Computing, 11, 141-146.
url http://www.jstatsoft.org/index.php/jss/article/view/1402
work_keys_str_mv AT evacantoni resistantnonparametricsmoothingwithsplus
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