Model visualization and Monte Carlo simulation in JMP are useful for understanding your statistical models and designing robust processes and products. This topic shows how to use the JMP Prediction Profiler to easily understand complicated statistical models, and how to use the Prediction Profiler to publish and share your process insights with non-statistical audiences. We also cover the Simulator and running Simulation experiments for stochastic optimization. JMP Pro also has two simulation options – bootstrapping values and simulating a column of statistics.
