Published in:
The Stata Journal: Promoting communications on statistics and Stata, 18 (2018) 3, Seite 517-532
Language:
English
DOI:
10.1177/1536867x1801800303
ISSN:
1536-867X;
1536-8734
Origination:
Footnote:
Description:
In univariate and in multivariate analyses, it is difficult to identify outliers in the case of skewed or heavy-tailed distributions. In this article, we propose simple univariate and multivariate outlier identification procedures that perform well with these types of distributions while keeping the computational complexity low. We describe the commands gboxplot (univariate case) and sdasym (multivariate case), which implement these procedures in Stata.