Criterion-robust optimal designs for model discrimination and parameter estimation in Fourier regression models

DOI10.1016/S0378-3758(03)00212-XzbMath1047.62072OpenAlexW1974728574MaRDI QIDQ1878675

Min-Hsiao Tsai, Mei-Mei Zen

Publication date: 8 September 2004

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(03)00212-x

Mathematics Subject Classification ID

Optimal statistical designs (62K05) General nonlinear regression (62J02)

Related Items (16)

Criterion-robust optimal designs for model discrimination and parameter estimation in Fourier regression models ⋮ Optimal designs for comparing curves ⋮ \(T\)-optimal discriminating designs for Fourier regression models ⋮ Minimax designs for estimating slopes in a trigonometric regression model ⋮ Optimal designs for trigonometric regression models ⋮ A note on Läuter-type robust design for polynomial regression models ⋮ Optimal designs for nonlinear regression models with respect to non-informative priors ⋮ Constructing \(c\)-optimal designs for polynomial regression without an intercept ⋮ An algorithm for calculating \(D\)-optimal designs for polynomial regression through a fixed point ⋮ Optimal designs for estimating the slope of a regression ⋮ Optimal discrimination designs for exponential regression models ⋮ Rejoinder: A general approach to \(D\)-optimal designs for weighted univariate polynomial regression models ⋮ Optimal designs for both model discrimination and parameter estimation ⋮ Constrained optimal discrimination designs for Fourier regression models ⋮ A Note on Criterion-Robust Optimal Designs for Model Discrimination and Parameter Estimation in Polynomial Regression Models ⋮ Some explicit solutions of \(c\)-optimal design problems for polynomial regression with no intercept

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