Robust Methods of Building Regression Models: An Application to the Housing Sector
研究线性模型在存在异常值时的稳健化策略，并通过对马德里大都市区租赁住房价值决定因素的建模，展示了该方法的实际应用。
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.