Robust designs for approximately polynomial regression

DOI10.1016/S0378-3758(97)00039-6zbMath0946.62068OpenAlexW1984901374MaRDI QIDQ1378828

Douglas P. Wiens, Shawn X. Liu

Publication date: 5 October 2000

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

Full work available at URL: https://doi.org/10.1016/s0378-3758(97)00039-6

zbMATH Keywords

bounded varianceminimax designsbounded biasapproximate polynomial regression

Mathematics Subject Classification ID

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

Related Items (10)

Some robust designs for polynomial regression models ⋮ for misspecified regression models ⋮ Robust designs for approximately polynomial regression ⋮ Comparison of designs in presence of a possible correlation in observations ⋮ Robust regression designs for approximate polynomial models ⋮ Robust weights and designs for biased regression models: Least squares and generalized \(M\)-estimation ⋮ Restricted minimax robust designs for misspecified regression models ⋮ Model-robust and model-sensitive designs ⋮ Discrete M-robust designs for regression models ⋮ Robust extrapolation designs for biased polynomial models

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