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.
BillorN., HadiA. S., and VellemanP. F.2000. BACON: Blocked adaptive computationally efficient outlier nominators. Computational Statistics & Data Analysis34: 279–298.
4.
HadiA. S.1992. Identifying multiple outliers in multivariate data. Journal of the Royal Statistical Society, Series B54: 761–771.
5.
HadiA. S.1994. A modification of a method for the detection of outliers in multivariate samples. Journal of the Royal Statistical Society, Series B56: 393–396.
6.
OrdK.1996. Review of Outliers in Statistical Data, 3rd ed., by V. Barnett and T. Lewis. International Journal of Forecasting12: 175–176.
