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

Fitting Characteristics of the Two-Parameter Estimator in Linear Regression

Authors
Xin-feng Chang
Corresponding Author
Xin-feng Chang
Available Online August 2016.
DOI
https://doi.org/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.
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Proceedings
3d International Conference on Applied Social Science Research (ICASSR 2015)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2016
ISBN
978-94-6252-148-3
DOI
https://doi.org/10.2991/icassr-15.2016.46How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 3d International Conference on Applied Social Science Research (ICASSR 2015)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icassr-15.2016.46
DO  - https://doi.org/10.2991/icassr-15.2016.46
ID  - Chang2016/08
ER  -