Asar, YasinKaraibrahimoğlu, AdnanGenç, Aşır2020-01-182020-01-182014Asar, Y., Karaibrahimoğlu, A., Genç, A. (2014). Modified ridge regression parameters: A comparative Monte Carlo study. Hacettepe Journal of Mathematics and Statistics, 43, 5, 827-841.1303-50102651-477Xhttps://search.trdizin.gov.tr/yayin/detay/253392/https://hdl.handle.net/20.500.12452/1353WOS:000347016500016In multiple regression analysis, the independent variables should beuncorrelated within each other. If they are highly intercorrelated, thisserious problem is called multicollinearity. There are several methodsto get rid of this problem and one of the most famous one is the ridgeregression. In this paper, we will propose some modified ridge parameters. We will compare our estimators with some estimators proposedearlier according to mean squared error (MSE) criterion. All resultsare calculated by a Monte Carlo simulation. According to simulationstudy, our estimators perform better than the others in most of thesituations in the sense of MSE.eninfo:eu-repo/semantics/openAccessMulticollinearityMultiple linear regressionRidge RegressionRidge estimatorMonte Carlo simulationArticle435827841Q3WOS:000347016500016Q4