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Selecting significant effects in factorial designs: Lenth's method versus the Box-Meyer approach

机译:选择阶乘设计的显着效果:Lenth的方法与盒子迈耶的方法

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摘要

The Lenth method is conceptually simple and probably the most common approach to analyzing the significance of the effects in factorial designs. Here, we compare it with a Bayesian approach proposed by Box and Meyer and which does not appear in the usual software packages. The comparison is made by simulating the results of 4, 8 and 16 run designs in a set of scenarios that mirror practical situations and analyzing the results provided by both methods. Although the results depend on the number of runs and the scenario considered, the use of the Box and Meyer method generally produces better results.
机译:LENTH方法在概念上简单,可能是分析阶乘设计效果意义的最常见方法。在这里,我们将其与Box和Meyer提出的贝叶斯方式进行比较,并且不会出现在通常的软件包中。通过模拟4,8和16在镜像实际情况和分析两种方法提供的结果的方案中的4,8和16个运行设计的结果进行了比较。虽然结果取决于运行的数量和所考虑的场景,但框和梅内特方法的使用通常会产生更好的结果。

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