Design Evaluation: Statistical Tools for Assessing Your Design Quality
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!