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Constrained optimal discrimination designs for Fourier regression models

By Stefanie Biedermann, Holger Dette and Philipp Hoffmann

Abstract

In this article, the problem of constructing efficient discrimination designs in a Fourier regression model is considered. We propose designs which maximize the power of the F-test,<br/>which discriminates between the two highest order models, subject to the constraints that the tests that discriminate between lower order models have at least some given<br/>relative power. A complete solution is presented in terms of the canonical moments of the optimal designs, and for the special case of equal constraints even more specific formulae<br/>are availabl

Topics: QA, HA
Year: 2009
OAI identifier: oai:eprints.soton.ac.uk:79815
Provided by: e-Prints Soton
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