Detecting Deviating Data Cells

DOI10.1080/00401706.2017.1340909MaRDI QIDQ6622415

Peter J. Rousseeuw, Wannes Van den Bossche

Publication date: 22 October 2024

Published in: Technometrics (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The shooting S-estimator for robust regression
• Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination
• Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
• Propagation of outliers in multivariate data
• Robust regression estimation and inference in the presence of cellwise and casewise contamination
• A class of robust and fully efficient regression estimators
• A new family of power transformations to improve normality or symmetry
• An optimal algorithm for approximate nearest neighbor searching fixed dimensions
• Robust Transformations in Univariate and Multivariate Time Series
• Robust Estimation of the Mean and Covariance Matrix from Data with Missing Values
• Robust Estimation of Multivariate Location and Scatter in the Presence of Missing Data
• Robust Statistics

Related Items (8)

MacroPCA: An All-in-One PCA Method Allowing for Missing Values as Well as Cellwise and Rowwise Outliers ⋮ Fast Robust Correlation for High-Dimensional Data ⋮ The Cellwise Minimum Covariance Determinant Estimator ⋮ ROBOUT: a conditional outlier detection methodology for high-dimensional data ⋮ Robust variable selection under cellwise contamination ⋮ CR-Lasso: robust cellwise regularized sparse regression ⋮ Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice ⋮ Robust Multivariate Functional Control Chart

This page was built for publication: Detecting Deviating Data Cells