A comparison of design and model selection methods for supersaturated experiments

  title={A comparison of design and model selection methods for supersaturated experiments},
  author={Christopher J. Marley and David C. Woods},
  journal={Computational Statistics & Data Analysis},
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluation. In this paper, simulated experiments are used to evaluate the use of E(s2)-optimal and Bayesian D-optimal designs, and to compare three analysis strategies representing regression, shrinkage and a novel model-averaging procedure. Suggestions are made for choosing the values of the tuning constants for each approach… CONTINUE READING
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