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Algorithms for Optimal Design with Application to Multiple Polynomial Regression.
Metrika, Tome 42 (1995) no. 3-4, pp. 173-190 Cet article a éte moissonné depuis la source European Digital Mathematics Library

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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 
@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/}
}
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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/