Exclusive Content & Downloads from ASQ

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.

Anyone with a subscription, including Site and Enterprise members, can access this article.

Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

  • 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