Arbeitspapier
A note on maximin and Bayesian D-optimal designs in weighted polynomial regression
We consider the problem of finding D-optimal designs for estimating the coefficients in a weighted polynominal regression model with a certain efficiency function depending on two unknown parameters, which models he heteroscedastic error structure. This problem is tackled by adopting a Bayesian and a maximin approach, and optimal designs supported on a minimal number of support points are determined explicitly.
- Language
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Englisch
- Bibliographic citation
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Series: Technical Report ; No. 2003,03
- Subject
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maximin optimality
Bayesian optimal designs
efficiency function
parameter estimation
Jacobi polynominals
Regression
Schätztheorie
Theorie
- Event
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Geistige Schöpfung
- (who)
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Biedermann, Stefanie
Dette, Holger
- 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)
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2003
- 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
- Biedermann, Stefanie
- Dette, Holger
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Time of origin
- 2003
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