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Using JMP® Pro to Pre-Process Functional Data and Create Surrogate Models

Application Area:
Statistics, Predictive Modeling and Data Mining

See how to preprocess data that are presented as functions, signals, or series into a form that can be analyzed and then use the data to create surrogate models suitable for Principal Component Analysis.

This webinar covers: benefits of FDE, pre-processing data using transformations and alignments; using pre-processed data to create surrogate models; fitting B-Spline, P-Spline and Fourier Basis models to pre-processed data; Principal Component Analysis; and saving functional scores for future analysis.

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