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Issue 20, 2019
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Applications of robust estimators of covariance in examination of inter-laboratory study data

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Abstract

Selected robust estimators of covariance or correlation are presented. Their use in the identification of anomalous laboratory results in inter-laboratory data is illustrated. It is shown that robust estimators can substantially reduce the impact of outlying values on multivariate confidence regions and consequently lead to sharper identification of anomalies, even where traditional outlier detection may fail to locate anomalous results.

Graphical abstract: Applications of robust estimators of covariance in examination of inter-laboratory study data

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Supplementary files

Article information


Submitted
13 Dec 2018
Accepted
08 Apr 2019
First published
26 Apr 2019

Anal. Methods, 2019,11, 2639-2649
Article type
Paper

Applications of robust estimators of covariance in examination of inter-laboratory study data

Stephen L. R. Ellison, Anal. Methods, 2019, 11, 2639
DOI: 10.1039/C8AY02724B

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