On the design of estimators with high breakdown points for outlier identification in triangulation networks

1995 ◽  
Vol 69 (4) ◽  
pp. 292-299 ◽  
Author(s):  
Huang Youcai
Keyword(s):  
Outlier Identification ◽  
Breakdown Points

scholarly journals Univariate and Multivariate Outlier Identification for Skewed or Heavy-Tailed Distributions

2018 ◽  
Vol 18 (3) ◽  
pp. 517-532
Author(s):  
Vincenzo Verardi ◽  
Catherine Vermandele
Keyword(s):  
Computational Complexity ◽  
Multivariate Analyses ◽  
Outlier Identification ◽  
Multivariate Case ◽  
Univariate Case ◽  
Heavy Tailed Distributions ◽  
Heavy Tailed ◽  
Identification Procedures

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.

Outlier Identification in Colorectal Surgery Should Separate Elective and Nonelective Service Components

2014 ◽  
Vol 57 (9) ◽  
pp. 1098-1104 ◽  
Author(s):  
Ben E. Byrne ◽  
Ravikrishna Mamidanna ◽  
Charles A. Vincent ◽  
Omar D. Faiz
Keyword(s):  
Colorectal Surgery ◽  
Outlier Identification ◽  
Service Components
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