Linear least squares estimates and nonlinear means

DOI10.1016/0378-3758(84)90054-5zbMath0588.62044OpenAlexW2017641352MaRDI QIDQ1073491

Naftali A. Langberg, Roger L. Berger

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)90054-5

zbMATH Keywords

consistencyasymptotic normalitymodel robustnessasymptotic meanbest linear approximation of the true meanlinear least squares estimatenonlinear means

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)

Cites Work

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• Optimum Designs in Regression Problems
• Using Least Squares to Approximate Unknown Regression Functions
• Consequences and Detection of Misspecified Nonlinear Regression Models
• On unification of the asymptotic theory of nonlinear econometric models
• Robust Estimation in Finite Populations I
• Optimal Experimental Designs
• Two More Criteria Equivalent to D-Optimality of Designs
• A Basis for the Selection of a Response Surface Design

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