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A new biased estimator based on ridge estimation
Authors:Sadullah Sakallıoğlu  Selahattin Kaçıranlar
Affiliation:1.Faculty Science and Letters, Department of Statistics,?ukurova University,Adana,Turkey
Abstract:In this paper we introduce a new biased estimator for the vector of parameters in a linear regression model and discuss its properties. We show that our new biased estimator is superior, in the mean square error(mse) sense, to the ordinary least squares (OLS) estimator, the ordinary ridge regression (ORR) estimator and the Liu estimator. We also compare the performance of our new biased estimator with two other special Liu-type estimators proposed in Liu (2003). We illustrate our findings with a numerical example based on the widely analysed dataset on Portland cement.
Keywords:Biased regression  Mean squared error  Multicollinearity  Ridge regression  Liu estimator
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