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0;1052;0;2cb; 0;d7;0;f1; 0;88;0;98; 0;279;0;17a; 0;1159;0;b19;
Self-Validated Ensemble Models (SVEM): A standout feature in JMP 17 Pro, SVEM is highly effective for analyzing complex mixture-process experiments, especially with small datasets. It helps minimize noise and prevents overfitting .
"Wide Data" Optimization: Enhanced performance for genomic and high-variable data, with new platforms like Marker Statistics, Marker Simulation, and Multivariate Embedding. jmp 17 pro
Functional Data Analysis: Advanced spectral data analysis and functional data explorer tools enable the modelling of data over time or space.
: Interactive previews for operations like joining, stacking, or transposing tables allow users to see the result before applying changes. Why Choose JMP Pro over Standard JMP? Tip: JMP automatically guesses these
Tip: JMP automatically guesses these. If your analysis looks wrong, check that a number isn't accidentally set to "Nominal".
JMP Search: An interactive tool that helps you find specific statistical tests, menu items, or help documentation in context while you work. Collaborative Features with new platforms like Marker Statistics
Design of Experiments (DOE) users will find that DSDs in JMP 17 Pro are now even more efficient. The software can now fit models with second-order effects (curvature) using fewer runs than traditional response surface designs. This saves time and money in R&D, chemical engineering, and manufacturing validation.
JMP Pro 17