An equivalence theorem for design optimality with respect to a multi-objective criterion

DOI10.1007/s00362-023-01431-2OpenAlexW4361287178WikidataQ121747157 ScholiaQ121747157MaRDI QIDQ6080685

Juan Manuel Rodríguez-Díaz, Chiara Tommasi, Jesús López-Fidalgo

Publication date: 4 October 2023

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-023-01431-2

zbMATH Keywords

equivalence theoremstandardized criteriamaxi-min optimal designs

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Minimax optimal designs via particle swarm optimization methods
• Max-min optimal discriminating designs for several statistical models
• Optimal designs for discriminating between dose-response models in toxicology studies
• Construction of MV- and SMV-optimum designs for binary response models
• Model-oriented design of experiments
• Theory of statistics
• Minimax \(D\)-optimal designs for item response theory models
• A semi-infinite programming based algorithm for determining T-optimum designs for model discrimination
• Bayesian optimum designs for discriminating between models with any distribution
• A unified approach to the construction of minimax designs
• Robust and Efficient Designs for the Michaelis–Menten Model
• Efficient Design of Experiments in the Monod Model
• Applications of necessary and sufficient conditions for maximin efficient designs

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