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Outperforming Completely Randomized Designs

Summary: This abstract is based on the authors' abstract. Split-plot designs are frequently used in industry when factor levels are difficult to change or control. However, the resulting compound symmetric error structure affects estimation and inference procedures as well as the efficiency of the designs used. D-optimal first and second order split-plot designs are described that outperform completely randomized designs in terms of D- and G-efficiency. Use of these designs should be considered even when completely randomized designs are affordable.

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  • Topics: Design of Experiments
  • Keywords: Optimal design,First order design,D-optimality,G-optimality,Design of control charts,Design of experiments (DOE),Split-plot design,Second-order designs
  • Author: Goos, Peter; Vanderbroek, Martina
  • Journal: Journal of Quality Technology