Mastering JMP®

Expand Your Analytic Skills

Live Webinar

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)

Register Now via WebEx

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