Optimal Designs for Trigonometric and Polynomial Regression Using Canonical Moments
Lau, Tai-Shing ; Studden, W. J.
Ann. Statist., Tome 13 (1985) no. 1, p. 383-394 / Harvested from Project Euclid
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Consider a trigonometric regression of order $m$ or a polynomial regression of degree $m$. Explicit $D_s$-optimal designs are given for some subsets of the coefficients. Lauter type optimal designs are given for various models involving the order or the degree. The designs are calculated using canonical moments.
Publié le : 1985-03-14
Classification:  Optimal designs,  trig regression,  canonical moments,  62K05,  62J05 
@article{1176346599,
     author = {Lau, Tai-Shing and Studden, W. J.},
     title = {Optimal Designs for Trigonometric and Polynomial Regression Using Canonical Moments},
     journal = {Ann. Statist.},
     volume = {13},
     number = {1},
     year = {1985},
     pages = { 383-394},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176346599}
}

Lau, Tai-Shing; Studden, W. J. Optimal Designs for Trigonometric and Polynomial Regression Using Canonical Moments. Ann. Statist., Tome 13 (1985) no. 1, pp.  383-394. http://gdmltest.u-ga.fr/item/1176346599/