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Two-Level Designs in Blocks of Size Two in Which All Main Effects and Two-Factor Interactions Are Estimable

机译:大小为2的块中的两层设计,可以估计所有主要作用和两因素相互作用

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摘要

There are many problems in the real world for which it is necessary to perform two points in one block. In this situation, information about certain treatments may be indistinguishable from, or confounded with, blocks. If the experimenter wants to estimate all main effects and two-factor interactions in which two points are in one block, then how to perform the blocking schemes is an important topic to study. In this article, we combine several 2~(k-p) fractions from same or different family to obtain better combined designs requiring fewer runs than those appearing in the literature.
机译:在现实世界中,有许多问题需要在一个块中执行两个点。在这种情况下,有关某些治疗方法的信息可能与程序块无法区分或混淆。如果实验者想估计所有主要影响以及两点在一个区块中的两因素相互作用,那么如何执行封闭方案是研究的重要课题。在本文中,我们将来自相同或不同家族的几个2〜(k-p)馏分组合在一起,以获得比文献中所显示的运行次数更少的更好的组合设计。

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