Generalized Ridge Estimate of Parameters in Variance Component Model

In this paper we transformed the variance component in an original model into the mean parameter in the new model, constructed the generalized ridge estimators of parameters, and selected the ridge parameters by sample. The paper shows that the mean square error of the estimate of variance may decrease, and the mean square error of estimate of regression coefficient does not increase simultaneously.