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Optimal split-plot orthogonal arrays

机译:最优分裂图正交阵列

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It is well known that many industrial experiments have split-plot structures. Compared to completely randomised experiments, split-plot designs are more economical and thus have received much attention among researchers. Much work has been done for two-level split-plot designs. In this article, we consider split-plot designs with factors of three, more than three, or mixed levels and with both qualitative and quantitative factors. We show that if two designs with both qualitative and quantitative factors are geometrically isomorphic, then their generalised wordlength patterns are identical. Three design scenarios are considered for optimal designs. The corresponding wordlength patterns are defined and the minimum aberration mixed-level split-plot designs having 18 and 36 runs are tabulated.
机译:众所周知,许多工业实验都具有分裂图结构。与完全随机的实验相比,分割图设计更经济,因此受到了研究人员的广泛关注。两级分割图设计已经完成了许多工作。在本文中,我们考虑具有三个,三个以上或混合级别的因子以及定性和定量因子的分裂图设计。我们表明,如果同时具有定性和定量因素的两个设计在几何上是同构的,则它们的广义字长模式是相同的。为实现最佳设计,考虑了三种设计方案。定义了相应的字长模式,并列出了具有18和36行程的最小像差混合级分离图设计。

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