Asar, YasinGenc, Asir2024-02-232024-02-2320172307-41082307-4116https://hdl.handle.net/20.500.12452/17946Ridge estimator is an alternative to ordinary least square estimator, when there is multicollinearity problem. There are many proposed estimators in literature. In this paper, we propose some new estimators. A Monte Carlo experiment has been conducted for the comparison of the performances of the estimators. Mean squared error (MSE) is used as a performance criterion. The benefits of new estimators are illustrated using a real dataset. According to both simulation results and application, our new estimators have better performances in the sense of MSE in most of the situations.eninfo:eu-repo/semantics/closedAccessMonte Carlo SimulationMseMulticollinearityOlsRidge EstimatorArticle44375822-s2.0-85036531389Q2WOS:000412120400009Q3