Robust designs and optimality of least squares for regression problems

DOI10.1016/0378-3758(84)90048-XzbMath0542.62064OpenAlexW1992920951WikidataQ126977471 ScholiaQ126977471MaRDI QIDQ795449

N. E. Zubov

Publication date: 1984

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(84)90048-x

zbMATH Keywords

minimax approachleast squares estimatorrobust designoptimal estimatormean square error matrixbest pair of estimator and designcontamination functionphi(p) optimalityunbiased linear estimators

Mathematics Subject Classification ID

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

Related Items (1)

Optimal designs for minimax extrapolation

Cites Work

• Optimal robust designs: Linear regression in \(R^ k\).
• General equivalence theory for optimum designs (approximate theory)
• Linear estimation for approximately linear models
• A Basis for the Selection of a Response Surface Design
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