improved ridge-type estimators in multivariate multiple linear model

‎this paper focus on estimating of the multivariate multiple linear models (mmlms) when multicollinearity presents in the design matrix‎. ‎among the estimators proposed to tackle the problem of multicollinearity‎, ‎the ridge estimator is popular‎. ‎we propose the ridge-type estimators of the coefficient matrix when the multicollinearity exists along with the prior information about the coefficients‎. ‎a simulation study is utilized to compare the relative efficiency of proposed estimators and finally‎, ‎we analyze a real dataset by the proposed estimators to show the usefulness of the proposed estimators‎.