CLC number: O21
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2008-12-29
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Serif HEKIMOGLU, R. Cuneyt ERENOGLU, Jan KALINA. Outlier detection by means of robust regression estimators for use in engineering science[J]. Journal of Zhejiang University Science A, 2009, 10(6): 909-921.
@article{title="Outlier detection by means of robust regression estimators for use in engineering science",
author="Serif HEKIMOGLU, R. Cuneyt ERENOGLU, Jan KALINA",
journal="Journal of Zhejiang University Science A",
volume="10",
number="6",
pages="909-921",
year="2009",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0820140"
}
%0 Journal Article
%T Outlier detection by means of robust regression estimators for use in engineering science
%A Serif HEKIMOGLU
%A R. Cuneyt ERENOGLU
%A Jan KALINA
%J Journal of Zhejiang University SCIENCE A
%V 10
%N 6
%P 909-921
%@ 1673-565X
%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820140
TY - JOUR
T1 - Outlier detection by means of robust regression estimators for use in engineering science
A1 - Serif HEKIMOGLU
A1 - R. Cuneyt ERENOGLU
A1 - Jan KALINA
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 6
SP - 909
EP - 921
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0820140
Abstract: This study compares the ability of different robust regression estimators to detect and classify outliers. Well-known estimators with high breakdown points were compared using simulated data. Mean success rates (MSR) were computed and used as comparison criteria. The results showed that the least median of squares (LMS) and least trimmed squares (LTS) were the most successful methods for data that included leverage points, masking and swamping effects or critical and concentrated outliers. We recommend using LMS and LTS as diagnostic tools to classify outliers, because they remain robust even when applied to models that are heavily contaminated or that have a complicated structure of outliers.
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