A minimax algorithm for constructing optimal symmetrical balanced designs for a logistic regression model

DOI10.1016/S0378-3758(00)00137-3zbMath0958.62065OpenAlexW1985534084MaRDI QIDQ1589690

Roger Fandom Noubiap, Seidel, Wilfried

Publication date: 10 April 2001

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(00)00137-3

zbMATH Keywords

global optimizationminimax problemsnon-differentiable optimizationD-criterionnonlinear experimental designC-criterionlogistic dose-response modelmixed integer-real programmingsymmetrical balanced design

Mathematics Subject Classification ID

Related Items (5)

Some robust design strategies for percentile estimation in binary response models ⋮ An algorithm based on semidefinite programming for finding minimax optimal designs ⋮ Bayesian and maximin optimal designs for heteroscedastic regression models ⋮ A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models ⋮ Minimax optimal designs via particle swarm optimization methods

Cites Work

• Maximin efficient designs for estimating nonlinear aspects in linear models
• A unified approach to the construction of minimax designs
• A Simplex Method for Function Minimization
• Locally Optimal Designs for Estimating Parameters
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