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Optimal and Robust Invariant Designs for Cubic Multiple Regression.
Metrika, Tome 42 (1995) no. 3-4, pp. 29-48 Cet article a éte moissonné depuis la source European Digital Mathematics Library

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Mots-clés : multiple polynomial regression of third order, ball, symmetric cube, optimal approximate design, convex and differentiable optimality criterion, permutations, sign changes of coordinates, matrix group, robustness 
@article{MET_1995__42_3-4_176551,
     author = {Norbert Gaffke and Berthold Heiligers},
     title = {Optimal and {Robust} {Invariant} {Designs} for {Cubic} {Multiple} {Regression.}},
     journal = {Metrika},
     pages = {29--48},
     year = {1995},
     volume = {42},
     number = {3-4},
     zbl = {0817.62059},
     url = {http://geodesic.mathdoc.fr/item/MET_1995__42_3-4_176551/}
}
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Norbert Gaffke; Berthold Heiligers. Optimal and Robust Invariant Designs for Cubic Multiple Regression.. Metrika, Tome 42 (1995) no. 3-4, pp. 29-48. http://geodesic.mathdoc.fr/item/MET_1995__42_3-4_176551/