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Model‐free data screening and cleaning
Author(s) -
Tarter Michael E.
Publication year - 2011
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.140
Subject(s) - bivariate analysis , nonparametric statistics , smoothing , data mining , data set , statistic , computer science , statistical graphics , bivariate data , statistics , statistical model , graphical model , mathematics , graphics , computer graphics (images)
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. WIREs Comp Stat 2011 3 168–176 DOI: 10.1002/wics.140 This article is categorized under: Statistical and Graphical Methods of Data Analysis > Density Estimation Statistical and Graphical Methods of Data Analysis > Data Reduction, Smoothing, and Filtering Statistical and Graphical Methods of Data Analysis > Nonparametric Methods