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!
Can’t make this time? Register anyway so that you are notified when the recording is ready.
Date: Wednesday, June 14, 2023
Time: 10:00am Central US Time