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Finding Bad Values in Factorial Designs - Revisited

Summary: [This abstract is based on the authors' abstract.]An outlier in an unreplicated factorial experiment is difficult to detect, and its presence is a problem because methods for detecting outliers and testing effects in the presence of outliers are unavailable in most statistical software. Three methods from the literature that address this problem are compared. The methods are illustrated with data from a real experiment that demonstrates ease of implementation in standard statistical packages. A simulation study is used to compare their performance over a wider range of circumstances. Recommendations are made for the use of each method in practice.

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  • Topics: Design of Experiments
  • Keywords: Bayesian methods,Outliers,Unreplicated fractional experiment
  • Author: Lawson, John; Gatlin, Jonathan
  • Journal: Quality Engineering