Using the Desirability Function to find the optimal operating conditions to maximize desirable outcomes. Conclusion
Are you planning to integrate JMP with ?
: JMP 17 Pro expanded its "Fit Model" capabilities to include GLMM, allowing users to model non-normal distributions (like Poisson or Binomial) while simultaneously accounting for random effects. jmp 17 pro
Are you migrating from an or a different statistical package ?
The Model Screening platform in version 17 allows users to run multiple predictive models simultaneously. You can fit Generalized Regression, Decision Trees, Neural Networks, and Support Vector Machines across the same data splits in a single click. JMP Pro then provides a unified dashboard ranking the models by performance metrics like R-squared, RMSE, or AUC (Area Under the Curve), drastically reducing model selection time. Functional Data Analysis (FDA) Using the Desirability Function to find the optimal
Unlocking High-Performance Analytics with JMP 17 Pro For data scientists and researchers, the "workflow" isn't just a series of steps—it's the core of discovery. JMP 17 Pro
JMP 17 Pro introduces significant speed optimizations, interface refinements, and entirely new analytical platforms designed to streamline complex workflows. Model Screening Platform Are you migrating from an or a different statistical package
To download a free 30-day trial of JMP 17 Pro, visit the official SAS/JMP website. Academic discounts are available for qualified institutions.
What (e.g., DOE, predictive modeling, reliability) are you trying to solve?
: New platforms specifically built for interactive power and sample size calculations. JMP User Community Advanced Modeling and Machine Learning (Pro Features) Functional Data Analysis (FDA)