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ID 20101
file
creator
subject
B-spline smoothing
Equidistant arrangement
Equipotent arrangement
Information criterion
Knot-placement
Nonparametric regression
Optimization algorithm
Over fitting
Smoothing parameter
abstract
This paper deals with knot-placement in B-spline scedasitic smoothing. We commonly fit B-spline using knots between which each interval is the same width. The number of knots is selected by applying an information criterion with an optimization algorithm. In order to avoid over fitting with this method, we consider other arrangements based on the number of sample points in each interval. We choose knots such that each interval contains about the same number of samples. These knot placement schemes are compared through the Monte Carlo simulation.
journal title
Communications in Statistics Simulation and Computation
volume
Volume 32
issue
Issue 3
start page
771
end page
786
date of issued
2003-01
publisher
Taylor & Francis
issn
0361-0918
ncid
publisher doi
language
eng
nii type
Journal Article
HU type
Journal Articles
DCMI type
text
format
application/pdf
text version
author
rights
Copyright (c) 2003 Taylor & Francis. This is an electronic version of an article published in "Communications in Statistics - Simulation and Computation Vol.32 Issue 3 pp.771-785" Disability and Rehabilitation is available at: http://dx.doi.org/10.1081/SAC-120017861
relation url
department
Graduate School of Science
Research Institute for Radiation Biology and Medicine