Computation of \(c\)-optimal designs for models with correlated observations
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Publication:1658167
DOI10.1016/j.csda.2016.10.019zbMath1464.62149OpenAlexW2548869914MaRDI QIDQ1658167
Publication date: 14 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2016.10.019
linear modelcorrelated observationsvariance-covariance matrixElfving's method\(c\)-optimality criteria
Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Optimal statistical designs (62K05)
Related Items (4)
Special issue on design of experiments ⋮ OPTIMAL DESIGNS FOR SERIES ESTIMATION IN NONPARAMETRIC REGRESSION WITH CORRELATED DATA ⋮ Optimal designs for comparing regression curves: dependence within and between groups ⋮ Design of c-optimal experiments for high-dimensional linear models
Cites Work
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- A geometric characterization of \(c\)-optimal designs for heteroscedastic regression
- Model-oriented design of experiments
- Integral approximations for computing optimum designs in random effects logistic regression models
- Optimal design for linear models with correlated observations
- Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
- Optimal Design of Experiments
- Optimum Allocation in Linear Regression Theory
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