Modified minimum covariance determinant estimator and its application to outlier detection of chemical process data

DOI10.1080/02664761003692456OpenAlexW2093326404MaRDI QIDQ5124820

Xuefeng Yan, Chao Chen, Guoqing Wu

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664761003692456

zbMATH Keywords

chi-squared distributionoutlier detectionchemical processminimum covariance determinantrobust Mahalanobis distance

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
• The feasible solution algorithm for the minimum covariance determinant estimator in multivariate data
• Least Median of Squares Regression
• Trimmed Least Squares Estimation in the Linear Model
• Influential Observations in Linear Regression
• Computable Robust Estimation of Multivariate Location and Shape in High Dimension Using Compound Estimators
• Identification of Outliers in Multivariate Data
• High-Breakdown Linear Discriminant Analysis

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