Bridging the Gap Between B-Spline and Polynomial Regression Model
Communications in Statistics Simulation and Computation Volume 32 Issue 1
Page 179-190
published_at 2003-01
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| File | |
| Title ( eng ) |
Bridging the Gap Between B-Spline and Polynomial Regression Model
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| Creator | |
| Source Title |
Communications in Statistics Simulation and Computation
|
| Volume | 32 |
| Issue | 1 |
| Start Page | 179 |
| End Page | 190 |
| Abstract |
In this paper, we propose a method to select the better of two types of models: a polynomial with low degree and a S-spline model, using the commoninformation criterion. The methodology can be directly applied to semi-parametric multiple regression analysis.
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| Keywords |
B-spline
information criterion
nonparametric regression
semi-parametric regression
simple regression
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| Language |
eng
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| Resource Type | journal article |
| Publisher |
Taylor & Francis
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| Date of Issued | 2003-01 |
| 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 1 pp.179-190" Disability and Rehabilitation is available at: http://dx.doi.org/10.1081/SAC-120013120
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| Publish Type | Author’s Original |
| Access Rights | open access |
| Source Identifier |
[ISSN] 0361-0918
[DOI] 10.1081/SAC-120013120
[NCID] AA10512671
[DOI] http://dx.doi.org/10.1081/SAC-120013120
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