Optimal design of experiments for hybrid nonlinear models, with applications to extended Michaelis-Menten kinetics

DOI10.1007/s13253-020-00405-3OpenAlexW3042421559MaRDI QIDQ2084384

Kalliopi Mylona, Steven G. Gilmour, Yuanzhi Huang, Peter Goos

Publication date: 18 October 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-020-00405-3

zbMATH Keywords

D-optimalityexchange algorithmbiochemistrycompound criterionweighted-A-optimality

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Guest editors' introduction to the special issue on ``Recent advances in design and analysis of experiments and observational studies in agriculture

Cites Work

• D-optimal designs of experiments with non-interacting factors
• DT-optimum designs for model discrimination and parameter estimation
• The design of experiments for discriminating between two rival models
• Robust and Efficient Designs for the Michaelis–Menten Model
• Optimal designs for non-competitive enzyme inhibition kinetic models
• Optimum Designs for Non-Linear Mixed Effects Models in the Presence of Covariates

This page was built for publication: Optimal design of experiments for hybrid nonlinear models, with applications to extended Michaelis-Menten kinetics