Bridging the Gap Between B-Spline and Polynomial Regression Model
Use this link to cite this item : https://ir.lib.hiroshima-u.ac.jp/00020102
| ID | 20102 |
| file | |
| creator | |
| subject | B-spline
information criterion
nonparametric regression
semi-parametric regression
simple regression
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| 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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| journal title |
Communications in Statistics Simulation and Computation
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| volume | Volume 32
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| issue | Issue 1
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| start page | 179
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| end page | 190
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| date of issued | 2003-01
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| publisher | Taylor & Francis
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| issn | 0361-0918
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| ncid | |
| publisher doi | |
| language |
eng
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| nii type |
Journal Article
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| HU type |
Journal Articles
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| DCMI type | text
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| format | application/pdf
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| text version | author
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| 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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| relation url | |
| department |
Graduate School of Science
Research Institute for Radiation Biology and Medicine
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