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On the Loss Robustness of Least-Square Estimators
Authors:Tamal Ghosh  Malay Ghosh  Tatsuya Kubokawa
Institution:1. Department of Statistics, University of Florida, Gainesville, FL;2. tamalg@ufl.edu;4. Graduate School of Economics, The University of Tokyo, Tokyo, Japan
Abstract:Abstract

The article revisits univariate and multivariate linear regression models. It is shown that least-square estimators (LSEs) are minimum risk estimators in general class of linear unbiased estimators under some general divergence loss. This amounts to the loss robustness of LSEs.
Keywords:Divergence  Gauss–Markov theorem  Linear Risk minimization  Unbiased estimators
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