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Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen, Technische Universität Dortmund >
Technical Reports, SFB 475, TU Dortmund >
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http://hdl.handle.net/10419/49349
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| Title: | | A note on maximin and Bayesian D-optimal designs in weighted polynomial regression  |
| Authors: | | Biedermann, Stefanie Dette, Holger |
| Issue Date: | | 2003 |
| Series/Report no.: | | Technical Report // Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2003,03 |
| Abstract: | | 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. |
| Subjects: | | maximin optimality Bayesian optimal designs efficiency function parameter estimation Jacobi polynominals |
| Document Type: | | Working Paper |
| Appears in Collections: | | Technical Reports, SFB 475, TU Dortmund
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