Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/49349
Authors: 
Biedermann, Stefanie
Dette, Holger
Year of Publication: 
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

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