a hybrid estimator for the linear measurement error model‎: ‎computations and simulations

In this paper‎, ‎a hybrid estimator is introduced by combining the mixed estimator and the kibria-lukman estimator for linear measurement error models in the presence of multicollinearity‎. ‎the asymptotic properties of the estimators are derived‎, ‎and their performance is evaluated with respect to the mean square error matrix criterion‎. ‎a simulation study is conducted to compare the performance of the proposed estimators with other available estimators under different sample sizes‎, ‎variances‎, ‎and degrees of multicollinearity‎. ‎additionally‎, ‎a real-life dataset is analyzed to illustrate the findings of the paper.