Robust designs for approximately linear regression: \(M\)-estimated parameters

DOI10.1016/0378-3758(94)90147-3zbMath0807.62056OpenAlexW1976132351MaRDI QIDQ1330226

Douglas P. Wiens

Publication date: 12 July 1994

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(94)90147-3

zbMATH Keywords

multiple linear regressionrobust testdesign robustness against model deviationsHuber's \(M\)-estimatorsminimax rotatable designsparametric contaminationquadratic contaminationrobustness of estimationsum of asymptotic variances, bias and model misspecification

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Optimal statistical designs (62K05) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (6)

Minimum bias designs with constraints ⋮ Robust sequential designs for approximately linear models ⋮ Model-robust and model-sensitive designs ⋮ A note on all-bias designs with applications in spline regression models ⋮ Robust sequential designs for nonlinear regression ⋮ Optimal design and the model validity range

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