For 2024 I am planning some new video content relating to DOE. What specific topics would be of interest? Please let me know if the comments :)
@scribbleyourlife
2 жыл бұрын
You have a wonderful voice. Other than that, helpful video!
@andy5558797
5 жыл бұрын
It's very useful video, thanks!
@Prof.Mayank
8 жыл бұрын
Nice video, helped a lot..Thanx dear
@dianas8001
6 жыл бұрын
how do you simulate the data ? Ive been trying to figure that out for training/demonstration purposes
@davidburnham3062
4 жыл бұрын
It was a column formula. Use the RandomNormal() function to add noise.
@khadijasossey9062
8 жыл бұрын
How did you found Y values?
@dhaferalbakre2665
Жыл бұрын
Does it work with canopy size as response variable and Altitudes gradient as explanatory variable?.. Thanks in advance
@gunjanjeswani3178
3 жыл бұрын
Please tell me how to determine and analyse the prediction equation in factorialdesign
@jigmetenzin7596
9 жыл бұрын
I have read some paper on hydrology models which are calibrated using Response Surface method (RSM). After reading those papers, I have some question related to RSM. The model I am working takes input data as follows : Daily Precipitation data, daily temperature data and daily snow cover area. With this model, I have associated parameter/ factor ( 5 factors - Continuous) with the model. The accuracy of the model is determined by Nash-Sutcliffe coefficient (R square) using the computed and measured discharge from the model. I have to keep on changing those factors ( trail and error method ) in order to achieve high R sqaure value. (Dailymeasured discharge validates the accuracy by comparing with value from daily computed discharge generated by the model) Is it possible to find a optimum value for achieving target R square by this DOE technique? Please advice me.
@kirankumarkr4611
Жыл бұрын
Does jmp and jmp Pro version have rsm tool?
@davidburnham3062
Жыл бұрын
Yes, the ability to generate a response surface design, and the ability to represent data with a response surface model. are native features of JMP; you don't need the PRO version for that.
@kirankumarkr4611
Жыл бұрын
Can jmp software used for multi response optimization
@davidburnham3062
Жыл бұрын
Short answer: yes. Slightly longer answer: use the FIt Model platform to create models for each response; then use the prediction profiler to create a desirability function based on the goals for each response (maximise, minimise, achieve target). Then optimise the desirability function.
@kirankumarkr4611
Жыл бұрын
Thank you sir, one more question, is the rsm tool present in both jmp and jmp Pro version
@davidburnham3062
Жыл бұрын
@@kirankumarkr4611 Yes, the ability to generate a response surface design, and the ability to represent data with a response surface model. are native features of JMP; you don't need the PRO version for that.
@kirankumarkr4611
Жыл бұрын
@@davidburnham3062 thank you
@muhammadusmanishfaq9880
3 жыл бұрын
How you get simulation data when you make a table for y?
@davidburnham3062
3 жыл бұрын
Well in the real-world you would conduct the experiment to collect the data, but for demonstration purposes I just used a formula to generate some simulated data.
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