Model‐free data screening and cleaning

Abstract

Categories of data screening and cleaning issues are reviewed and discussed. Bivariate model-free approaches, specialized model-free regression techniques, together with order statistic-based (OSB) approaches are illustrated and shown to be of particular value for a variety of data screening and cleaning applications. It is shown how a combination of curve estimation with OSB approaches can help screen a progression to AIDS data set.