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An outlier is a data value that lies in the tail of the statistical distribution of a set of data values. The intuition is that outliers in the distribution of uncorrected (raw) data are more likely to be incorrect. Examples are data values that lie in the tails of the distributions of ratios of two fields (ratio edits), weighted sums of fields (linear inequality edits), and Mahalanobis distributions (multivariate normal) or outlying points to point clouds of graphs.


UNECE Data Editing Group

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Last edit:

06 Dec 2013

(Fiona Willis-Núñez)