Generalized minimum aberration for asymmetrical fractional factorial designs (vol 29, pg 549, 2001)

被引:0
|
作者
Xu, HQ [1 ]
Wu, CFJ [1 ]
机构
[1] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
来源
ANNALS OF STATISTICS | 2001年 / 29卷 / 04期
关键词
ANOVA; distance distribution; MacWilliams transforms; minimum aberration; orthogonal arrays; wordlength pattern;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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 Go-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.
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页码:1066 / 1077
页数:12
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