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Discussion of "Computer Experiments with Qualitative and Quantitative Variables: A Review and Reexamination"

Summary: This article is a discussion of an article by Yulei Zhang and William I. Notz, "Computer Experiments with Qualitative and Quantitative Variables: A Review and Reexamination," Quality Engineering, Volume 27, Number 1 (January 2015), pages 2-13. The author congratulates Zhang and Notz on an interesting and important paper. Their work provides some general-purpose correlation models that allow more general dependencies for emulating computer models with qualitative inputs. In addition, the authors have shed light on the connections between multivariate spatial/GP modeling and accounting for qualitative inputs in computer model emulation. There is a clear need for better computer model emulation over qualitative inputs, particularly when the qualitative input indexes multiple resolutions. Higdon concludes that the article by Zhang and Notz brings new ideas and connections to light, opening up new possibilities for attacking this problem.

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  • Topics: Statistical Process Control (SPC)
  • Keywords: Computer models, Variable data, Statistical experimental design (SED), Gaussian curve, Stochastic models, Prediction, Correlated data, Factorial experiments, Indicators, Parameter design
  • Author: Higdon, Dave;
  • Journal: Quality Engineering