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On a generalized stein estimator of regression coefficients
Authors:Balakrishna S Hosmane
Institution:Division of Statistics , Northern Illinois University , Dekalb, Illinois, 60115
Abstract:This paper studies a generalized Stein estimator of regression coefficients. The small disturbance approximations for the bias and mean square error matrix of the estimator are derived and a necessary and sufficient condition is obtained for the estimator to dominate the ordinary least squares estimator under the mean square error criterion.
Keywords:Asymptotic bias  asymptotic mean square error  stein estimator
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