Identifying multivariate discordant observations: a computer-intensive approach.

DOI10.1016/S0167-9473(01)00103-7zbMath1072.65507OpenAlexW2030323360MaRDI QIDQ1606108

R. Smith

Publication date: 31 July 2002

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(01)00103-7

zbMATH Keywords

Computer intensive methodsSuccessive testing-values testsMultivariate outliers

Mathematics Subject Classification ID

Multivariate analysis (62H99)

Related Items

A monitoring display of multivariate outliers

Cites Work

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• Identifying multiple discordant observations: a computer intensive approach.
• Multiple outlier detection in multivariate data using projection pursuit techniques
• Percentage Points for a Generalized ESD Many-Outlier Procedure
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• Fast Very Robust Methods for the Detection of Multiple Outliers
• Identification of Outliers in Multivariate Data
• The Behavior of the Stahel-Donoho Robust Multivariate Estimator
• Sequential Application of Wilks's Multivariate Outlier Test