Design Evaluation: Statistical Tools for Assessing Your Design Quality

presented by Martin Bezener

This webinar details incredibly useful assessments provided by Stat-Ease software for evaluation of any set of input data, whether existing (unplanned) or from a ‘proper’ design of experiments (DOE). Learn how to watch for issues that degrade the information that you hope to extract, in particular:

  • Aliasing and power for factorials (especially if botched)
  • Fraction of design space (FDS) for sizing response surface methods (RSM) and mixture design
  • Variance inflation factors (VIFs), degrees of freedom (df), leverage
  • Matrix measures and much more!

This presentation lays out real-life examples at a low level of math and stats—ideal for beginning and intermediate DOE practitioners. Do not miss this chance to strengthen your ability to assess your data quality!