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 out- liers, 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. Copyright 2010 by StataCorp LP.
Volume (Year): 10 (2010)
Issue (Month): 3 (September)
|Note:||to access software from within Stata, net describe http://www.stata-journal.com/software/sj10-3/st0197/|
|Contact details of provider:|| Web page: http://www.stata-journal.com/|
|Order Information:||Web: http://www.stata-journal.com/subscription.html|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Billor, Nedret & Hadi, Ali S. & Velleman, Paul F., 2000. "BACON: blocked adaptive computationally efficient outlier nominators," Computational Statistics & Data Analysis, Elsevier, vol. 34(3), pages 279-298, September.
- Kit Baum, 2008.
"Using Mata to work more effectively with Stata: A tutorial,"
Fall North American Stata Users' Group Meetings 2008
7, Stata Users Group.
- Kit Baum, 2008. "Using Mata to work more effectively with Stata: A tutorial," United Kingdom Stata Users' Group Meetings 2008 11, Stata Users Group.
- Christopher F Baum, 2009. "Using Mata to work more effectively with Stata: A tutorial," German Stata Users' Group Meetings 2009 06, Stata Users Group.
When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:10:y:2010:i:3:p:331-338. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum)or (Lisa Gilmore)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.