cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • New to JMP? Join us Sept. 23-24 for the Early User Edition of Discovery Summit, tailor-made for new users. Register now for free!
  • Use World Cup data to build models, explore spatial relationships, and create informative visualizations in JMP. Register. July 17, 2 pm US Eastern Time.
  • Your voice matters! Tell us how you prefer to receive JMP updates, so we can tailor our communication to your needs. Take short survey.

Discussions

Solve problems, and share tips and tricks with other JMP users.
Choose Language Hide Translation Bar
Cedrick1
Level II

How Can I get Adequat precision in JMP after analysis Box-benken design ?

1 REPLY 1
Victor_G
Super User

Re: DOE

Hi @Cedrick1,

 

The "Adequate Precision" as displayed in Stat-Ease doesn't seem not a default calculation in JMP : Stat-Ease » v22.0 » Adequate Precision

Victor_G_1-1737470596066.png


However, considering the simple formula, it's quite easy to do it in JMP (here with the dataset "Bounce Data" from JMP Sample Index) :

  1. Fit a model on the design points and save the number of terms in your model, and the number of points :
    Victor_G_3-1737470909285.png
  2. Extract residual mean square (from "Analysis of Variance" tab) :
    Victor_G_0-1737470529795.png
  3. Save Prediction formula on your table, and use "Distribution" platform to easily access min and max predicted values :
    Victor_G_2-1737470840786.png
  4. You can then calculate the Adequate Precision of your model (in my case on this very clean/"ideal" dataset, it is equal to 156).

 

It should be possible to script it and use the values from the model report to directly calculate it.

Hope this answer will help you in the meantime, 

Victor GUILLER

"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)

Recommended Articles