Authors: | Biedermann, Stefanie Dette, Holger Pepelyshev, Andrey |
Title: | Some Robust Design Strategies for Percentile Estimation in Binary Response Models |
Language (ISO): | en |
Subject Headings: | 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. binary response model robust optimal design c-efficiency percentile estimation multi-objective designs |
URI: | http://hdl.handle.net/2003/4890 http://dx.doi.org/10.17877/DE290R-16156 |
Issue Date: | 2004 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
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19_04.pdf | DNB | 186.81 kB | Adobe PDF | View/Open |
tr19-04.ps | 344.8 kB | Postscript | View/Open |
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