REGRESSION DIAGNOSTICS FOR THE LEAST ABSOLUTE DEVIATIONS AND THE MINIMAX METHODS

DOI10.1081/STA-100104359zbMath1054.62080OpenAlexW1992342370MaRDI QIDQ4540652

Ali S. Hadi, Beatriz Lacruz, Enrique F. Castillo

Publication date: 28 July 2002

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-100104359

zbMATH Keywords

Exterior Point Method, Linear programming, Pivoting, Polyhedral convex cones, Simplex Method

Mathematics Subject Classification ID

Minimax problems in mathematical programming (90C47) Diagnostics, and linear inference and regression (62J20)

Related Items (2)

APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001 ⋮ Sensitivity analysis of constrained linear \(L_1\) regression: Perturbations to constraints, addition and deletion of observations

Cites Work

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• A new measure of overall potential influence in linear regression
• A Generalized Extreme Studentized Residual Multiple-Outlier-Detection Procedure in Linear Regression
• Detection of Influential Observation in Linear Regression
• Fast Very Robust Methods for the Detection of Multiple Outliers

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