Proceedings of the 3d International Conference on Applied Social Science Research

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Fitting Characteristics of the Two-Parameter Estimator in Linear Regression

Authors
Xin-feng Chang
Corresponding Author
Xin-feng Chang
Available Online August 2016.
DOI
10.2991/icassr-15.2016.46How to use a DOI?
Keywords
Ridge estimator; Two-parameter estimator; PRESS statistic; Multicollinearity
Abstract

Ozkale and Kaciranlar (2007) introduced the two-parameter (TP) estimator for the vector of parameters in a linear regression model. In this paper, several better fitting characteristics of the TP estimator than those of the ordinary least squares and ridge estimators are considered. Furthermore, we propose and investigate the prediction error sum of squares (PRESS) statistics for selecting the parameter of the TP estimator.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3d International Conference on Applied Social Science Research
Series
Advances in Intelligent Systems Research
Publication Date
August 2016
ISBN
10.2991/icassr-15.2016.46
ISSN
1951-6851
DOI
10.2991/icassr-15.2016.46How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

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TY  - CONF
AU  - Xin-feng Chang
PY  - 2016/08
DA  - 2016/08
TI  - Fitting Characteristics of the Two-Parameter Estimator in Linear Regression
BT  - Proceedings of the 3d International Conference on Applied Social Science Research
PB  - Atlantis Press
SP  - 160
EP  - 162
SN  - 1951-6851
UR  - https://doi.org/10.2991/icassr-15.2016.46
DO  - 10.2991/icassr-15.2016.46
ID  - Chang2016/08
ER  -