The Extent of Gross Errors Eliminated by Robust Multiple Linear Regressions

DOI10.1080/03610926.2011.648791zbMath1280.62085OpenAlexW2002707071MaRDI QIDQ2873918

Yonghui Ge, Xiaohui Han

Publication date: 28 January 2014

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

Full work available at URL: https://doi.org/10.1080/03610926.2011.648791

zbMATH Keywords

robust estimationextent of eliminated gross errorsminimum number of observations

Mathematics Subject Classification ID

Cites Work

• A smoothing principle for the Huber and other location \(M\)-estimators
• Genetic algorithm and M-estimator based robust sequential estimation of parameters of nonlinear sinusoidal signals
• Robust estimator for correlated observations based on bifactor equivalent weights
• Breakdown points of Cauchy regression-scale estimators
• New robust estimators for detecting non-random patterns in multivariate control charts: a simulation approach
• Confidence interval estimation of the location and scale parameters of the logistic distribution using pivotal method
• Genetic algorithms for outlier detection in multiple regression with different information criteria

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