Optimal design of experiments with anticipated pattern of missing observations

DOI10.1016/j.jtbi.2004.01.002zbMath1439.92003OpenAlexW1980162162WikidataQ79953730 ScholiaQ79953730MaRDI QIDQ2187633

Lorens A. Imhof, Dale Song, Weng Kee Wong

Publication date: 3 June 2020

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2004.01.002

zbMATH Keywords

missing observations\(D\)-optimality\(E\)-optimalityapproximate designsMichaelis-Menten modelextrapolation designs

Mathematics Subject Classification ID

General biology and biomathematics (92B05) Experimental work for problems pertaining to biology (92-05)

Related Items (2)

Optimal designs for mean-covariance models with missing observations ⋮ Robust optimal design when missing data happen at random

Cites Work

• \(E\)-optimal designs in weighted polynomial regression
• Optimal designs for rational models and weighted polynomial regression
• Maximin designs for exponential growth models and heteroscedastic polynomial models
• \(E\)-optimal designs for rational models
• \(E\)-optimal designs for polynomial regression
• Optimal two-point designs for the michaelis-menten model with heteroscedastic errors
• Analysing Data from Hormone-Receptor Assays
• Bayesian D-optimal designs on a fixed number of design points for heteroscedastic polynomial models
• Optimal Designs When the Variance Is A Function of the Mean
• Optimal Spacing and Weighting in Polynomial Prediction
• Locally Optimal Designs for Estimating Parameters
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