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Oct 8, 2017 10:10 AM
(10543 views)

Hi

I am very new to JMP and recently im using DOE for response surface methodology.

My question is; the equation in the softwear is given in terms of coded factors, how i can use this softwear to convert the equation with actual factors?

Many thanks

Yang

- Tags:
- doe
- response surface

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What you are displaying are the Parameter Estimates for the model that is specified for your DOE. The definition of it can be found in the DOE Documentation

Help==>Books==>Design of Experiments Guide

If what you displayed is an attempt to follow what Dan indicated to do, let me clarify that for you. What was specified was to "save the prediction formula from the model fitting results". To do this, click on the red triangle and select

Save Columns==>Prediction Formula

This saves the Prediction Formula to the data table. Then, "Open up the formula from the data table.". To do this, go to the data table, right click on the header for the new column that has been added to the data table, and select "Formula"

The formula window will be opened up. Then you can "From the red triangle pop up menu of the equation editor, choose simplify"

This is the prediction formula for your Model

Jim

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Re: Response surface final equation in terms of actual factors

One way is to save the prediction formula from the model fitting results. Open up the formula from the data table. From the red triangle pop up menu of the equation editor, choose simplify.

Dan Obermiller

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Re: Response surface final equation in terms of actual factors

Hi dan

Parameter Estimates

Term Estimate Std Error t Ratio Prob>|t|

Intercept 19,956667 0,320239 62,32 <,0001

Temp(45,75) -1,40125 0,196105 -7,15 0,0008

time(30,120) 1,27 0,196105 6,48 0,0013

E(0,1,1) 3,82625 0,196105 19,51 <,0001

Temp*time -1,31 0,277335 -4,72 0,0052

Temp*E -1,3075 0,277335 -4,71 0,0053

time*E 0,515 0,277335 1,86 0,1224

Temp*Temp -2,127083 0,288659 -7,37 0,0007

time*time -0,809583 0,288659 -2,80 0,0378

E*E -1,747083 0,288659 -6,05 0,0018

This is what i got for the formular, i have no idea how to do with it

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What you are displaying are the Parameter Estimates for the model that is specified for your DOE. The definition of it can be found in the DOE Documentation

Help==>Books==>Design of Experiments Guide

If what you displayed is an attempt to follow what Dan indicated to do, let me clarify that for you. What was specified was to "save the prediction formula from the model fitting results". To do this, click on the red triangle and select

Save Columns==>Prediction Formula

This saves the Prediction Formula to the data table. Then, "Open up the formula from the data table.". To do this, go to the data table, right click on the header for the new column that has been added to the data table, and select "Formula"

The formula window will be opened up. Then you can "From the red triangle pop up menu of the equation editor, choose simplify"

This is the prediction formula for your Model

Jim

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Re: Response surface final equation in terms of actual factors

Thank you very much!

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Re: Response surface final equation in terms of actual factors

Hi Jim

I have another question about RSM result.

how can i obtain the anova table or the "Parameter Estimates" like this? i mean with the quadric and linear factor which give SS and MS values in the result? Many thanks

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Re: Response surface final equation in terms of actual factors

The source table you are referring to is found in the "EffectsTests" paragraph in the Anova(RSM) output.

By default the Mean Square is not displayed, since it is really a redundant statistic, however, it can be displayed if you right click on the table and select "Columns" and then select Mean Square.

Jim

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Re: Response surface final equation in terms of actual factors

Created:
Mar 9, 2020 11:59 PM
| Last Modified: Mar 10, 2020 4:31 AM
(3769 views)
| Posted in reply to message from txnelson 10-08-2017

Respected sir, where do i get the final prediction equation of my model. sample images are attached for JMP prediction formula and actual required formula, Please help

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