Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/49355 
Year of Publication: 
2003
Series/Report no.: 
Technical Report No. 2003,29
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
For the binary response model, we determine optimal designs which are robust wit respect to the misspecifications of the unknown parameters. We propose a maximin approach and provide a numerical method to identify the best two point designs for the commonly applied link functions. This method is broadly applicable and can be extended to designs with a given number (>= 2) of support points and further link functions. The results are illustrated for the logistic and probit model, for which the maximin optimal designs are found explicitly.
Subjects: 
Binary response model
robust optimal design
maximin D-optimality
Bayesian D-optimality
prior distribution
Document Type: 
Working Paper

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