Basic

Understanding and Modeling Response Curves

Application Area:
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. 

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.

Live webinars on many topics are offered throughout the year. See the list and register in the JMP User Community.