Generalized minimum aberration for asymmetrical fractional factorial designs
Xu, Hongquan ; Wu, C. F. J.
Ann. Statist., Tome 29 (2001) no. 2, p. 1066-1077 / Harvested from Project Euclid
By studying treatment contrasts and ANOVA models, we propose a generalized minimum aberration criterion for comparing asymmetrical fractional factorial designs. The criterion is independent of the choice of treatment contrasts and thus model-free. It works for symmetrical and asymmetrical designs, regular and nonregular designs. In particular,it reduces to the minimum aberration criterion for regular designs and the minimum $G_2$-aberration criterion for two-level nonregular designs. In addition, by exploring the connection between factorial design theory and coding theory, we develop a complementary design theory for general symmetrical designs,which covers many existing results as special cases.
Publié le : 2001-08-14
Classification:  ANOVA,  distance distribution,  MacWilliams transforms,  minimum aberration,  orthogonal arrays,  wordlength pattern,  62K15,  62K05
@article{1013699993,
     author = {Xu, Hongquan and Wu, C. F. J.},
     title = {Generalized minimum aberration for asymmetrical fractional
			 factorial designs},
     journal = {Ann. Statist.},
     volume = {29},
     number = {2},
     year = {2001},
     pages = { 1066-1077},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1013699993}
}
Xu, Hongquan; Wu, C. F. J. Generalized minimum aberration for asymmetrical fractional
			 factorial designs. Ann. Statist., Tome 29 (2001) no. 2, pp.  1066-1077. http://gdmltest.u-ga.fr/item/1013699993/