bacon: An Effective Way to Detect Outliers in Multivariate Data Using Stata (and Mata)
Date issued
2010
In
Stata Journal
Vol
3
No
10
From page
331
To page
338
Subjects
bacon hadimvo Outliers detection Multivariate outliers.
Abstract
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.
Later version
http://www.stata-journal.com/article.html?article=st0197
Publication type
journal article
