A Generalized Extreme Studentized Residual Multiple-Outlier-Detection Procedure in Linear Regression

DOI10.2307/1268785zbMath0850.62527OpenAlexW2094786840MaRDI QIDQ4029724

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Publication date: 1 April 1993

Full work available at URL: https://doi.org/10.2307/1268785

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Related Items (7)

REGRESSION DIAGNOSTICS FOR THE LEAST ABSOLUTE DEVIATIONS AND THE MINIMAX METHODS ⋮ Leverage, residual, and interaction diagnostics for subsets of cases in least squares regression ⋮ Cluster-based multivariate outlier identification and re-weighted regression in linear models ⋮ Testing for normality in linear regression models ⋮ Diagnostics for non-linear regression ⋮ Applied regression analysis bibliography update 1990-91 ⋮ BACON: blocked adaptive computationally efficient outlier nominators.

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