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A Comparison of Prediction Variance Criteria for Response Surface Designs

Summary: [This abstract is based on the author's abstract.] The IV-criterion is a design evaluation criterion for response surface designs based on the average prediction variance (APV). The author examines various computer-generated APV measures and their relationships to the IV-criterion. These measures require averaging over either a fixed set or a random set of evaluation points. The APV measure will be larger than the corresponding IV-criterion value when a fixed set of points is used, resulting in the possible selection of an inferior design based on the IV-criterion. An approach is proposed that provides exact evaluation of the IV-criterion value for response surface designs on the hypercube.

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  • Topics: Design of Experiments
  • Keywords: Computer-Aided Design (CAD),Design of experiments (DOE),Variance (statistics),Response surface methodology (RSM),Prediction limits
  • Author: Borkowski, John J.
  • Journal: Journal of Quality Technology