Unreplicated fractional factorial designs are usually used to identify location effects and dispersion effects in screening experiments. Various methods for identifying active location effects have been proposed during last three decades. All of these methods depend on the assumption of no dispersion effects. Meanwhile most of the dispersion-identification methods rely on first identifying the correct location effect model. The presence of dispersion effects induces correlation among location effect estimates. If location-effect identification methods are sensitive to this correlation, then finding the correct location model may be more difficult in the presence of dispersion effects. The primary aim of this project is to compare the robustness of different location-identification methods - Box and Meyer (1986), Lenth (1989), Berk and Picard (1991), and Loughin and Noble (1997) - under the heteroscedastic model via simulation studies. Confounding of location and dispersion effects has also been investigated here.
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机译：未复制的分数阶乘设计通常用于确定筛选实验中的位置效应和分散效应。在过去的三十年中，已经提出了多种识别主动位置效应的方法。所有这些方法都取决于没有色散效应的假设。同时，大多数色散识别方法都依赖于首先识别正确的位置效应模型。分散效应的存在会引起位置效应估计之间的相关性。如果位置效应识别方法对此关联敏感，那么在存在色散效应的情况下，找到正确的位置模型可能会更加困难。该项目的主要目的是在异方差模型下，通过Boxed和Meyer（1986），Lenth（1989），Berk and Picard（1991）和Loughin and Noble（1997）比较不同位置识别方法的鲁棒性。模拟研究。此处还研究了位置效应和色散效应的混淆。
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