Speakers : Bill Worley, JMP Global Senior Technical Engineer
the speech topic : Building Predictive Models for Spectral Data Using Functional Data Analysis and Design of Experiments
Summary of speech:
In recent years, partial least squares (PLS) have been used to build predictive models for spectral data. A newer approach using Functional Data Explorer and covariate design of experiments allows the use of fewer spectra in predictive models with good predictive properties. This approach uses between a quarter and a third of the data that would otherwise be used to build predictive models based on spectral data. New multivariate platforms such as model-driven multivariate control charts (MDMCC) will also be demonstrated as ways to enhance the analysis of spectral data.
