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A Class of Partially Replicated Two Level Fractional Factorial Designs

机译:一类部分复制的两级分数阶因子设计

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Resolution III fractional factorial designs permit the uncorrelated estimation of all main effects under the assumption of no interactions among the factors and are often used in the initial phases of an experimental program to screen factors. Even in these experimental situations, it may be desirable to include partial replication of the design, thereby allowing for the unbiased estimation of the experimental error while maintaining the orthogonality of the main effects. It is often then possible to assess the no-interactions assumption by comparing the sample of confounded interactions with the pure error estimate. In this paper, a new class of partially replicated two-level fractional factorial designs based on Hadamard matrices is proposed. A method of constructing these designs is given and the relative performance of the designs is evaluated by comparing them with competing fractional factorial designs.
机译:解决方案III的分数阶乘设计允许在所有因素之间没有相互作用的假设下对所有主要影响进行不相关的估计,并且经常在实验程序的初始阶段用于筛选因素。即使在这些实验情况下,也可能需要包括设计的部分复制,从而在保持主要效果的正交性的同时,对实验误差进行无偏估计。然后通常可以通过将混杂交互的样本与纯误差估计值进行比较来评估无交互假设。本文提出了一种新的基于Hadamard矩阵的部分复制的两级分数阶因子设计。给出了构建这些设计的方法,并通过将它们与竞争性分数阶乘设计进行比较来评估设计的相对性能。

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