Introduction to Functional Data Analysis ( 2019-EU-TUT-140 )
Feb 11, 2019 4:32 PM
| Last Modified: Mar 18, 2019 9:37 AM
Level: Advanced Job Function: Analyst / Scientist / Engineer Chris Gotwalt, JMP Director of Statistical Research and Development, SAS Ryan Parker, JMP Senior Research Statistician, SAS
JMP Pro is now able to model and visualize functional data in a new way that is direct, straightforward and leads to highly accurate models. We will introduce the Functional Data Explorer platform and go through a set of examples that illustrate two particularly useful families of problems that it facilitates solving, function response DOE analysis (FR-DOE) and functional regressor machine learning (FR-ML). FR-DOE analysis allows one to see directly how the shape of a response curve changes as a result in changes in the value of the DOE factors. FR-ML is an approach to feature extraction for sensor data from manufacturing processes that faciliates accurate early prediction of final batch yield or faulty products. Our examples will be primarily from pharmaceutical, chemical and semiconductor manufacturing, but our approach can be applied to practically any industry.