parameters estimation of linear regression model using liu-type steinestimators

This paper suggests liu-type stein and liu-type positive stein estimatorsin linear regression model in the presence of multicollinearity under subspace information.the performance of the proposed estimators is compared to liu-type estimatorin terms of their relative efficiency via a monte carlo simulation study. the resultsshow that the proposed estimators outperform the liu-type estimator due to yieldinglarger values of simulated relative efficiency.