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Analyzing Data from Designed Experiments: A Regression Tree Approach

Summary: [This abstract is based on the authors' abstract.] It is observed that regression trees are useful supplements to the standard analysis tools for designed experiments. A regression tree is an algorithmic procedure for partitioning the space of a set of independent or predictor variables. The objective is to find the combination(s) of predictor variable levels that produce a desired value for some response. Illustrations of regression trees applied to 2k factorial designs are provided. It is shown that regression trees often can provide insights more easily and more directly than can standard factorial design analysis.

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  • Topics: Design of Experiments
  • Keywords: Design of experiments (DOE),Regression,Factorial designs
  • Author: Wisnowski, J. W.; Runger, G. C.; Montgomery, D. C.
  • Journal: Quality Engineering