Using Model Visualization and Simulation to Understand Your Models

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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.
  1. Julian Parris
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Комментарии
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Thank you for the amazing videos. You are one of the best instructors I have seen

eddiecutie
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Thank you, Dr. Parris! Awesome video! 🏆 🥇

Zane_Zaminsky
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Well done and very inspiring! I have a question regarding the response noise: Can I use it or is it here for to account the deviation of my response? So let me point it like this: I measure the response on different samples and get the stddev so I can put it inside response noise to also account for that factor? Thanks for Info!

TheWechris
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Can this be done in JMP 14, or is JMP Pro needed?

joanvickers