Clear two-factor interactions and minimum aberration
Wu, Huaiqing ; Wu, C. F. J.
Ann. Statist., Tome 30 (2002) no. 1, p. 1496-1511 / Harvested from Project Euclid
Wu and Hamada recommend selecting resolution IV designs with the maximum number of clear two-factor interactions (2FIs), called MaxC2 designs. In this paper, we develop a method by using graphical representations, combinatorial and group-theoretic arguments to prove if a given design is a MaxC2 design. In particular, we show that all known minimum aberration designs with resolution IV are MaxC2 designs (except in six cases) and that the second $2^{9-4}$, $2^{13-7}$, $2^{16-10}$ and $2^{17-11}$ designs given in Wu and Hamada are MaxC2 designs. The method also enables us to identify new MaxC2 designs that are too large to be verified by computer search.
Publié le : 2002-10-14
Classification:  Alias set,  defining contrast subgroup,  resolution,  word-length pattern,  62K15
@article{1035844985,
     author = {Wu, Huaiqing and Wu, C. F. J.},
     title = {Clear two-factor interactions and minimum aberration},
     journal = {Ann. Statist.},
     volume = {30},
     number = {1},
     year = {2002},
     pages = { 1496-1511},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1035844985}
}
Wu, Huaiqing; Wu, C. F. J. Clear two-factor interactions and minimum aberration. Ann. Statist., Tome 30 (2002) no. 1, pp.  1496-1511. http://gdmltest.u-ga.fr/item/1035844985/