Arbeitspapier
Some robust design strategies for percentile estimation in binary response models
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.
- Language
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Englisch
- Bibliographic citation
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Series: Technical Report ; No. 2004,19
- Subject
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Binary response model
robust optimal design
c-efficiency
percentile estimation
multi-objective designs
Schätztheorie
Robustes Verfahren
Theorie
- Event
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Geistige Schöpfung
- (who)
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Dette, Holger
Biedermann, Stefanie
Pepelyshev, Andrey
- Event
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Veröffentlichung
- (who)
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Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (where)
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Dortmund
- (when)
-
2004
- Handle
- Last update
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10.03.2025, 11:45 AM CET
Data provider
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Dette, Holger
- Biedermann, Stefanie
- Pepelyshev, Andrey
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Time of origin
- 2004
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