Kıracı, Arzdar2016-01-082016-01-081996http://hdl.handle.net/11693/18418Ankara : Department of Economics and Institute of Economics and Social Sciences, Bilkent Univ., 1996.Thesis(Master's) -- Bilkent University, 1996.Includes bibliographical references leaves 36.This study analyzes the effect of outliers in the regression analysis with the help of a written program in the programing language of GAUSS. The analysis relies on the subject of Robust Regression, which is explained and supported by experiments and applications. The applications contain examples to show the superiority of this technique.vii, 36, xi leavesEnglishinfo:eu-repo/semantics/openAccessRobust Regression,Defect of Ordinary Least Squares Regression.Program for Robust RegressionMinimum Covariance DeterminantMVEMinimum Volume EllipsoidMCDLTSLeast Trinuned SquaresLMSLeast Median SquaresRobust DistanceLeverage PointOutlierHB139 .K47 1996Regression analysis.Robust regression and applicationsThesis