LAD Regression and Nonparametric Methods for Detecting Outliers and Leverage Points

Giuseppe Melfi; Susana Faria

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arXiv · math/0507510

LAD Regression and Nonparametric Methods for Detecting Outliers and Leverage Points

Giuseppe Melfi·Susana Faria

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Abstract

The detection of influential observations for the standard least squares regression model is a question that has been extensively studied. LAD regression diagnostics offers alternative approaches whose main feature is the robustness. In this paper a new approach for nonparametric detection of influencial observations in LAD regression models is presented and compared with other classical methods of diagnostics.

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Giuseppe Melfi, Susana Faria. 2005-07-25. LAD Regression and Nonparametric Methods for Detecting Outliers and Leverage Points. https://arxiv.org/abs/math/0507510

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