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Bacon: An Effective way to Detect Outliers in Multivariate Data Using Stata (and Mata)

Year: 2010

Type: article

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.

Source: The Stata Journal Promoting communications on statistics and Stata

DOI: 10.1177/1536867x1001000302

Author: Sylvain Weber

Institution: University of Geneva

Language: English

Topic: Advanced Statistical Methods and Models

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W1593932467

FWCI: 1.855

Cites: 6

Cited by: 161

Related to: 10