Optimal designs for estimating individual coefficients in Fourier regression models
Dette, Holger ; Melas, Viatcheslav B.
Ann. Statist., Tome 31 (2003) no. 1, p. 1669-1692 / Harvested from Project Euclid
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In the common trigonometric regression model, we investigate the optimal design problem for the estimation of the individual coefficients, where the explanatory variable varies in the interval $[-a,a]$, $0
Publié le : 2003-10-14
Classification:  Trigonometric regression,  $c$-optimality,  optimal design for estimating individual coefficients,  Chebyshev approximation problem,  implicit function theorem,  62K05 
@article{1065705122,
     author = {Dette, Holger and Melas, Viatcheslav B.},
     title = {Optimal designs for estimating individual coefficients in Fourier regression models},
     journal = {Ann. Statist.},
     volume = {31},
     number = {1},
     year = {2003},
     pages = { 1669-1692},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1065705122}
}

Dette, Holger; Melas, Viatcheslav B. Optimal designs for estimating individual coefficients in Fourier regression models. Ann. Statist., Tome 31 (2003) no. 1, pp.  1669-1692. http://gdmltest.u-ga.fr/item/1065705122/