Robust methods of building regression models : an application to the housing sector

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Publication date
1984-01
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American Statistical Association
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Abstract
This article studies robustification strategies for the linear model in the presence of outliers. The advantages of an internal analysis of the robustness of least squares for a given sample are pointed out. The application of this methodology is illustrated by building an explicit model of the determinants of rental housing values in the Madrid Metropolitan Area.
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