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Graphical Tools for Assessing the Sensitivity of Response Surface Designs to Model Misspecification

Summary: [This abstract is based on the authors' abstract.] In a screening design scenario, the amount of bias present leads to different conclusions as to which design is best. A methodology is presented for evaluating and comparing experimental designs using the expected squared bias (ESB) and expected mean squared error. Fraction of design space plots and box plots are used to compare designs for their performance under assumed levels of model misspecification.

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  • Topics: Product-Service Design, Design of Experiments
  • Keywords: Design of experiments (DOE), Bias, Mean square errors (MSE), Prediction, Variance (statistics)
  • Author: Anderson-Cook, Christine M.; Borror, Connie M.; Jones, Bradley
  • Journal: Technometrics