Experimental designs for a class of weighted polynomial regression models

DOI10.1016/0167-9473(92)90045-HzbMath0937.62626WikidataQ127207457 ScholiaQ127207457MaRDI QIDQ2563606

Dette, Holger

Publication date: 31 August 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

\(D\)-optimal designefficiency functionmodel robust designweighted polynomial regression

Mathematics Subject Classification ID

Optimal statistical designs (62K05)

Related Items (6)

Some results on optimality in models with heteroscedastic errors from partial optimum designs ⋮ A note on Läuter-type robust design for polynomial regression models ⋮ An algorithmic construction of optimal minimax designs for heteroscedastic linear models ⋮ Some applications of Stieltjes transforms in the construction of optimal designs for nonlinear regression models ⋮ Model-robust and model-sensitive designs ⋮ Rejoinder: A general approach to \(D\)-optimal designs for weighted univariate polynomial regression models

Cites Work

• A generalization of D- and \(D_ 1\)-optimal designs in polynomial regression
• A note on robust designs for polynomial regression
• Optimal designs for trigonometric and polynomial regression using canonical moments
• \(D_s\)-optimal designs for polynomial regression using continued fractions
• Optimal designs for a class of polynomials of odd or even degree
• The Equivalence of Two Extremum Problems
• Model Robust, Linear-Optimal Designs
• Experimental design in a class of models
• Optimal multipurpose designs for regression models
• The Sequential Generation of $D$-Optimum Experimental Designs
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