Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/22671
Authors: 
Biedermann, Stefanie
Dette, Holger
Hoffmann, Philipp
Year of Publication: 
2006
Series/Report no.: 
Technical Report / Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2006,28
Abstract: 
In this article, the problem of constructing efficient discriminating designs in a Fourier regression model is considered. We propose designs which maximize the efficiency for the estimation of the coefficient corresponding to the highest frequency subject to the constraints that the coefficients of the lower frequencies are estimated with at least some given efficiency. A complete solution is presented using the theory of canonical moments, and for the special case of equal constraints the optimal designs can be found analytically.
Subjects: 
Constrained optimal designs
trigonometric regression
D1-optimal designs
Chebyshev polynomials
canonical moments
Document Type: 
Working Paper

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