Expand Your Analytic Skills
Designing Experiments to Optimize Manufacturing Materials Selection (Advanced)
May 16, 2019 | 2 PM ET (11 AM PT)
Designing experiments based on physical or chemical properties significantly minimizes the number of required experimental conditions and produces a model that can predict untested options. These efficient designs are based on QSAR (Quantitative Structure – Activity Relationship). This demonstration is based on a 2017 JMP Discovery Summit presentation by Silvio Miccio, Procter and Gamble.
This webinar covers: Using Principal Components Analysis (PCA) to compress information describing properties of potential options; using covariate properties to select materials to use in the experimental design; and modeling and comparing results to choose the most extensible model.
Register now for this free, one-hour, interactive webinar.
Date: Thursday, May 16, 2019
Time: 2 PM ET (11 AM PT)