Abstract
In this paper we propose a new criterion, minimum aberration majorization, for comparing non-isomorphic saturated designs. This criterion is based on the generalized word-length pattern proposed by Ma and Fang (Metrika 53 (2001) 85) and Xu and Wu (Ann. Statist. 29 (2001) 1066) and majorization theory. The criterion has been successfully applied to check non-isomorphism and rank order saturated designs. Examples are given through five non-isomorphic L16(215) designs and two L27(313) designs.
Original language | English |
---|---|
Pages (from-to) | 337-346 |
Number of pages | 10 |
Journal | Journal of Statistical Planning and Inference |
Volume | 126 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Nov 2004 |
Scopus Subject Areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics
User-Defined Keywords
- Aberration
- Isomorphism
- Majorization
- Saturated design