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.