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Analysis and Efficient 2~(k-1) Designs for Experiments in Blocks of Size Two

机译:2号块的实验分析和有效的2〜(k-1)设计

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摘要

Two-level factorial designs in blocks of size two are useful in a variety of experimental settings, including microarray experiments. Replication is typically used to allow estimation of the relevant effects, but when the number of factors is large this common practice can result in designs with a prohibitively large number of runs. One alternative is to use a design with fewer runs that allows estimation of both main effects and two-factor interactions. Such designs are available in full factorial experiments, though they may still require a great many runs. In this article, we develop fractional factorial design in blocks of size two when the number of factors is less than nine, using just half of the runs needed for the designs given by Kerr (J Qual. Tech. 2006; 38:309-318). Two approaches, the orthogonal array approach and the generator approach, are utilized to construct our designs. Analysis of the resulting experimental data from the suggested design is also given.
机译:大小为2的块中的二级因子设计可用于各种实验设置,包括微阵列实验。复制通常用于估计相关效果,但是当因素数量很大时,这种常见做法可能导致设计的运行次数过高。一种选择是使用运行次数少的设计,该设计允许估计主要影响和两因素相互作用。尽管它们可能仍需要大量运行,但可以在全因子试验中使用这种设计。在本文中,当因子数小于9时,我们仅使用Kerr(J Qual。Tech。2006; 38:309-318进行的设计所需的一半运行)在大小为2的块中开发分数阶因子设计。 )。两种方法,正交阵列方法和生成器方法,被用来构建我们的设计。还给出了从建议的设计中得到的实验数据的分析。

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