Robust regression refers to a set of statistical techniques designed to provide reliable parameter estimates in the presence of outliers or violations of traditional assumptions of regression analysis. Unlike ordinary least squares (OLS) regression, which can be significantly influenced by extreme values in the dataset, robust regression aims to produce more reliable estimates by minimizing the influence of these outliers.
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