Robust regression and applications
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/18418
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.
Defect of Ordinary Least Squares Regression.
Program for Robust Regression
Minimum Covariance Determinant
Minimum Volume Ellipsoid
Least Trinuned Squares
Least Median Squares
HB139 .K47 1996