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Modelling Curves/Spectra With JMP

Silvio Miccio, Modelling and Simulation, Trainer and Consultant for Empirical Modelling and Optimisation, Procter & Gamble

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Not all results we model are based on a few continuous or discrete responses. Sometimes the response is a curve, such as when we describe the tensile strength of a product or spectra providing insights on chemical composition or quantities. Instead of just modelling specific points of these curves (e.g., peak force), it is possible to model the entire curve/spectra, enabling a more comprehensive understanding of the system. Some response curves can be explained by fitting basis functions, others by multivariate methods like PCA or PLS. Real-life examples will show how to model response curves in JMP, visualise them interactively in the JMP Profiler and discuss the conclusions.

Discovery Summit Europe 2016 Resources

Discovery Summit 2016 is over, but it's not too late to participate in the conversation!

Below, you'll find papers, posters and selected video clips from Discovery Summit Europe 2016.