


Definition: 
An outlier is a data value that lies in the tail of the statistical distribution of a set of data values.

Context: 
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.

Source
Publication: 
Economic Commission for Europe of the United Nations (UNECE), "Glossary of Terms on Statistical Data Editing", Conference of European Statisticians Methodological material, Geneva, 2000.

Statistical
Theme: Methodological information (metadata) 
Glossary
Output Segments: 
SDMX

Created
on Wednesday, March 13, 2002 
Last
updated on Tuesday, June 11, 2013 












