bacon: An effective way to detect outliers in multivariate data using Stata (and Mata)

Identifying outliers in multivariate data is computationally intensive. The bacon command, presented in this article, allows one to quickly identify outliers, even on large datasets of tens of thousands of observations. bacon constitutes an attractive alternative to hadimvo, the only other command available in Stata for the detection of outliers.


Issue Date:
2010
Publication Type:
Journal Article
DOI and Other Identifiers:
st0197 (Other)
PURL Identifier:
http://purl.umn.edu/159017
Published in:
Stata Journal, Volume 10, Number 3
Page range:
331-338
Total Pages:
8

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 Record created 2017-04-01, last modified 2017-08-27

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