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Abstract. A generalized mixed regression estimator for the estimation of the regression coefficients in the linear regression model with incomplete prior information is proposed and its properties are studied considering the risk under the general quadratic loss function when the disturbances are small and nonnormal.
A generalized mixed regression estimator for the estimation of the regression coefficients in the linear regression model with incomplete prior information is proposed and its properties are studied considering the risk under the general quadratic loss function when the disturbances are small and non normal.
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