Understanding and Modeling Response Curves
Statistics, Predictive Modeling and Data Mining
Learn how to analyze sequential measurement data where measurements you want to analyze as responses are not single points, but a range of points presented as curves. Examples include chemical spectra, sensors, and batch or streaming data. Learn how to efficiently use the full range of data rather than selected points in the curve to provide immediately interpretable results, including graphs typically used to understand these kinds of data. See a 30-minute demo and stay on if you want to join 15-30 minutes of Topic Discussion and Q&A.
This session covers: JMP Pro Functional Data Explorer, identifying underlying structures among batches in a process and the impact of variables on those structures; building models; and maximizing desirability to find factors that give the best results.