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Small asymmetric fractional factorial plans for main effects and specified two-factor interactions

机译:小的不对称分数阶乘计划,用于主效应和指定的两因素相互作用

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摘要

Fractional factorial plans represented by orthogonal arrays of strength two are known to be optimal in a very strong sense under a model that includes the mean and all the main effects, when all interactions are assumed to be absent. When a fractional factorial plan given by an orthogonal array of strength two is not saturated, one might think of entertaining some two-factor interactions also in the model. In such a situation, it is of interest to examine which of the two-factor interactions can be estimated via a plan represented by an orthogonal array, as also to study the overall efficiency of the plan when some interactions are in the model alongwith the mean and all main effects. In this paper, an attempt has been made to examine these issues by considering some practically useful plans for asymmetric (mixed level) factorials with small number of runs.
机译:在假设没有所有相互作用的情况下,已知一个由强度为2的正交阵列表示的分数阶式计划在包括均值和所有主要影响的模型下的非常强的意义上是最优的。当强度为2的正交数组给出的分数阶乘方案未达到饱和时,人们可能会考虑在模型中也进行一些两因素相互作用。在这种情况下,研究可以通过正交数组表示的计划来估计哪些两因素交互作用,以及研究模型中某些交互作用与平均值的情况下计划的整体效率,这一点很有意义。和所有主要效果。在本文中,尝试通过考虑一些运行次数少的非对称(混合级别)析因的一些实际有用的计划来研究这些问题。

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