Fitting Characteristics of the Two-Parameter Estimator in Linear Regression

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.

Open Access

This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

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
SP  - 160
EP  - 162
SN  - 1951-6851
UR  - https://doi.org/10.2991/icassr-15.2016.46
DO  - https://doi.org/10.2991/icassr-15.2016.46
ID  - Chang2016/08
ER  -