Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/22532
Authors: 
Dette, Holger
Biedermann, Stefanie
Pepelyshev, Andrey
Year of Publication: 
2004
Series/Report no.: 
Technical Report / Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2004,19
Abstract: 
For the problem of percentile estimation of a quantal response curve, we determine multi-objective designs which are robust with respect to misspecifications of the model assumptions. We propose a maximin approach based on efficiencies and provide designs that are simultaneously efficient with respect to the particular choice of various parameter regions and link functions. Furthermore, we deal with the problems of designing model and percentile robust experiments and give various examples of such designs, which are calculated numerically.
Subjects: 
Binary response model
robust optimal design
c-efficiency
percentile estimation
multi-objective designs
Document Type: 
Working Paper

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