非对称部分因子设计的广义最小混杂准则

Generalized minimum aberration for asymmetrical fractional factorial designs

Annals of Statistics · 2001
被引 100
ABS 4★

中文导读

提出一种广义最小混杂准则,用于比较非对称部分因子设计,该准则不依赖处理对比的选择,适用于对称与非对称、规则与非规则设计,并发展了对称设计的互补设计理论。

Abstract

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 model­free. 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 G2 ­aberration criterion for two­level 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.

实验设计因子设计统计优化