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Analysis of No-Confounding Designs using the Dantzig Selector.

机译:使用Dantzig选择器分析无混淆的设计。

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摘要

No-confounding designs (NC) in 16 runs for 6, 7, and 8 factors are non-regular fractional factorial designs that have been suggested as attractive alternatives to the regular minimum aberration resolution IV designs because they do not completely confound any two-factor interactions with each other. These designs allow for potential estimation of main effects and a few two-factor interactions without the need for follow-up experimentation. Analysis methods for non-regular designs is an area of ongoing research, because standard variable selection techniques such as stepwise regression may not always be the best approach. The current work investigates the use of the Dantzig selector for analyzing no-confounding designs. Through a series of examples it shows that this technique is very effective for identifying the set of active factors in no-confounding designs when there are three of four active main effects and up to two active two-factor interactions.;To evaluate the performance of Dantzig selector, a simulation study was conducted and the results based on the percentage of type II errors are analyzed. Also, another alternative for 6 factor NC design, called the Alternate No-confounding design in six factors is introduced in this study. The performance of this Alternate NC design in 6 factors is then evaluated by using Dantzig selector as an analysis method. Lastly, a section is dedicated to comparing the performance of NC-6 and Alternate NC-6 designs.
机译:针对6、7和8因子的16次运行中的无混淆设计(NC)是非规则分数阶因子设计,已被建议作为常规最小像差分辨率IV设计的有吸引力的替代方案,因为它们不会完全混淆任何两个因子彼此之间的互动。这些设计可以潜在地估计主要影响和一些两因素相互作用,而无需进行后续实验。非常规设计的分析方法是一个正在进行的研究领域,因为标准变量选择技术(例如逐步回归)可能并不总是最佳方法。当前的工作是研究使用Dantzig选择器来分析无混淆的设计。通过一系列示例表明,当存在四个主动主效应中的三个且最多存在两个主动两因子交互时,该技术对于识别无混杂设计中的主动因子非常有效。 Dantzig选择器进行了仿真研究,并基于II型错误的百分比分析了结果。另外,本研究介绍了六因素NC设计的另一种替代方法,称为六因素替代无混杂设计。然后,通过使用Dantzig选择器作为一种分析方法来评估该替代NC设计在6个因素中的性能。最后,本节专门比较NC-6和备用NC-6设计的性能。

著录项

  • 作者

    Krishnamoorthy, Archana.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Industrial engineering.
  • 学位 M.S.
  • 年度 2014
  • 页码 75 p.
  • 总页数 75
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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