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Minimum average risk estimators for coefficients in linear models
Authors:P. A. V. B. Swamy  J. S. Mehta
Affiliation:1. Federal Reserve System ,;2. Temple University ,
Abstract:We consider the problem of estimating the coefficient vector β of a linear regression model with quadratic loss function. Some biased estimators which utilize the prior information about β are considered. Also studied is the problem of estimating the parameters of an over-identified structural equation from undersized samples.
Keywords:regression  linear  parameters  coefficients  average risk estimators  biased  structural equation
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