Optimal designs for estimating pairs of coefficients in Fourier regression models
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Date
2008-11-26T14:13:13Z
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Abstract
In the common Fourier regression model we investigate the optimal design problem
for estimating pairs of the coefficients, where the explanatory variable varies in the
interval [¡¼; ¼]. L-optimal designs are considered and for many important cases L-
optimal designs can be found explicitly, where the complexity of the solution depends
on the degree of the trigonometric regression model and the order of the terms for which the pair of the coefficients has to be estimated.
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Keywords
Equivalence theorem, Fourier regression model, L-optimal design, Parameter subset