Algorithms for Optimal Design with Application to Multiple Polynomial Regression.
Metrika, Tome 42 (1995) no. 3-4, pp. 173-190
Voir la notice de l'article provenant de la source European Digital Mathematics Library
Mots-clés :
optimal linear regression design, convex extremum problems, algorithm, steepest descent type algorithms, improved gradient methods, second order methods, symmetric multiple polynomial models, invariance structures, efficient exact designs, optimal approximate designs, multifactor cubic model
Norbert Gaffke; Berthold Heiligers. Algorithms for Optimal Design with Application to Multiple Polynomial Regression.. Metrika, Tome 42 (1995) no. 3-4, pp. 173-190. http://geodesic.mathdoc.fr/item/MET_1995__42_3-4_176574/
@article{MET_1995__42_3-4_176574,
author = {Norbert Gaffke and Berthold Heiligers},
title = {Algorithms for {Optimal} {Design} with {Application} to {Multiple} {Polynomial} {Regression.}},
journal = {Metrika},
pages = {173--190},
year = {1995},
volume = {42},
number = {3-4},
zbl = {0833.62071},
url = {http://geodesic.mathdoc.fr/item/MET_1995__42_3-4_176574/}
}