Robust regression and applications
Date
1996
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Bilkent University
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Language
English
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Thesis
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Abstract
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.
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Robust Regression,, Defect of Ordinary Least Squares Regression., Program for Robust Regression, Minimum Covariance Determinant, MVE, Minimum Volume Ellipsoid, MCD, LTS, Least Trinuned Squares, LMS, Least Median Squares, Robust Distance, Leverage Point, Outlier