Procedures for the identification of multiple influential observations in linear regression

DOI10.1080/02664763.2013.868418zbMath1352.62111OpenAlexW2084462722MaRDI QIDQ3179251

A. A. M. Nurunnabi, A. H. M. R. Imon, Ali S. Hadi

Publication date: 21 December 2016

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

Full work available at URL: https://doi.org/10.1080/02664763.2013.868418

zbMATH Keywords

outliersmaskingswampingleast trimmed squaresregression diagnosticsCook's distanceleast median of squaresleverage valuesBACON

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (8)

A multiple-case deletion approach for detecting influential points in high-dimensional regression ⋮ Identification of influential observations based on binary particle swarm optimization in the cox PH model ⋮ Asymmetric influence measure for high dimensional regression ⋮ Identification and classification of multiple outliers, high leverage points and influential observations in linear regression ⋮ Multiple outliers detection in sparse high-dimensional regression ⋮ Multiple Influential Point Detection in High Dimensional Regression Spaces ⋮ Unnamed Item ⋮ Outlier detection and robust variable selection via the penalized weighted LAD-LASSO method

Uses Software

• R
• robustbase

Cites Work

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• Testing for a Single Outlier from a General Linear Regression
• Detection of Influential Observation in Linear Regression
• Influence analysis in multivariate linear general models
• Masking unmasked
• Linear Statistical Inference and its Applications

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