Desirability functions and maximizing desirability in the prediction Profiler in JMP: ua-cam.com/users/clipUgkxeOBceaGF-VCFpB1wPoX2kyfC4sMl3N6T?si=40r5cj9srYlSqHyn
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 that is correct the response noise is defined after you select from the drop down menu options in the Responses Outline under the Simulator. For example, you can change the drop-down menu option for the response to "Add Random Noise" and then specify the expected standard deviation of your response variable. By default, JMP populates this field with the value of the model RMSE (root mean squared error).
For certain features like Right Click Simulate and Right Click Bootstrap, you need JMP Pro (in JMP 16 and Prior). You can still do all the Profiling and use Stochastic Optimization in regular JMP. I created a snip of the Bootstrapping Demo Julian goes over here since it's useful for future reference: ua-cam.com/users/clipUgkxIkgpxzUSNQKzG2COu1XKIvG7YqZ3XCny Note that in JMP 17 and beyond, the Right Click Simulate and Bootstrap options will be available in both the standard and Pro versions of the software.
Thank you for the amazing videos. You are one of the best instructors I have seen
Thank you! That's such a wonderful compliment :)
I second that! 🙏
Thank you, Dr. Parris! Awesome video! 🏆 🥇
Thank you!
Desirability functions and maximizing desirability in the prediction Profiler in JMP: ua-cam.com/users/clipUgkxeOBceaGF-VCFpB1wPoX2kyfC4sMl3N6T?si=40r5cj9srYlSqHyn
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 that is correct the response noise is defined after you select from the drop down menu options in the Responses Outline under the Simulator. For example, you can change the drop-down menu option for the response to "Add Random Noise" and then specify the expected standard deviation of your response variable. By default, JMP populates this field with the value of the model RMSE (root mean squared error).
Can this be done in JMP 14, or is JMP Pro needed?
For certain features like Right Click Simulate and Right Click Bootstrap, you need JMP Pro (in JMP 16 and Prior). You can still do all the Profiling and use Stochastic Optimization in regular JMP. I created a snip of the Bootstrapping Demo Julian goes over here since it's useful for future reference: ua-cam.com/users/clipUgkxIkgpxzUSNQKzG2COu1XKIvG7YqZ3XCny Note that in JMP 17 and beyond, the Right Click Simulate and Bootstrap options will be available in both the standard and Pro versions of the software.