A MULTIVARIATE OUTLIER DETECTION METHOD
By Peter Filzmoser. 2004
128 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/7e9eef87c456b643e2ab6a5856c1bb1c9a01c3d2
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- Han Lin Shang
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Citations in the corpus
- Rainbow Plots, Bagplots, and Boxplots for Functional Data (2010, methodology): “scaled the retained principal components, Filzmoser, Maronna, and Werner (2008) calculated the robust Mahalanobis distance for each curve.”
- Evaluating the purchase behaviour of organic food by young consumers in an emerging market economy (2019, methodology): “Standardised values (z scores) were used to examine univariate outliers, whilst Mahalanobis distance was used to check multivariate outliers (Filzmoser, 2004).”