%0 Journal Article
%T Comparison of the r-(k,d) class estimators to some estimators by the mean square error matrix criteria
%A Nilg¨¹n Y£¿ld£¿z
%J -
%D 2018
%X The ordinary leastsquares, the principal components regression and the Liu-type estimators are special cases of ther-(k,d)class estimators, for regression models with multicollinearity. In thisa rticle we derived conditions for the superiority of ther-(k,d) classestimatoroverotherestimatorssuch as ordinaryleastsquares, principalcomponentandLiu-typeestimatorbased on the mean square error matrix(MSEM)criterion. Finally, a numericale xample and a Monte Carlo simulation are also given to show the theoretical results
%K Liu-tipi tahmin edici
%K r-(k
%K d )S£¿n£¿f Tahmin Edici
%K Temel bile£¿enler regresyonu
%K Matris Hata Kareler Ortalamas£¿
%K £¿oklu £¿£¿ £¿li£¿ki
%U http://dergipark.org.tr/jssa/issue/37877/437683