Sir it's a absolutely nice presentation. Sir I have a doubt, I have 4 factors and each having 3 levels, which rsm design I can use in btw Box beigan and CCD ?
I have some more materials on Response Surface here www.theopeneducator.com/doe/Response-Surface-Methodology. This should help answering your questions.
Sir i have done the analysis in the same way for different data set. but analysis of variance table after error option the lack of fit option is missing sir. can you please help me sir
In the beginning when you select the Define response design nd then you selected the continuous factors, there is a option of coded and uncoded..what should I select? kindly help me because I am getting different results with coded and uncoded .
Thanks for your video, I tried to reproduce this example in the trial version of minitab 19. The method is clear to me and I use exactly the same values (even for the axial points, I calculated them in Excel), however I get slightly different results. For example, my Adj SS for the model with 5 DF is 111.984 whereas yours is 109.077. Could this be an version issue, or some setting? Looking forward to your response!
Unlike ANOVA, regression sums of squares are a bit complicated. However, adjusted sum of square should be the same as long as you have the same model terms. You can send the Minitab file to email@theopeneducator.com . I can check it for you. I do have the Minitab 17 running. More on the response surface: www.theopeneducator.com/doe#TOC-Part-III:-Optimize-the-Important-Factors-Variables
@@nicoblijham The analyses were performed using Minitab 17-version. You may get different results with other versions of Minitab. You have done everything correctly. I have double checked. I have got exact same results as yours. My best!
More on Response Surface: www.theopeneducator.com/doe#TOC-Module-9.-Response-Surface-Methodology . You can provide me with some more detail information on the design.
great video, but what about if you have 3 factors, does minitab show also a response surface here?
yes it does
You can check this out: th-cam.com/video/ZDSgdN1DhzY/w-d-xo.html
simple and quick. You rock
Very helpful! Thank you...
Check more here: www.theopeneducator.com/doe#TOC-Module-9.-Response-Surface-Methodology
Sir it's a absolutely nice presentation. Sir I have a doubt, I have 4 factors and each having 3 levels, which rsm design I can use in btw Box beigan and CCD ?
I have some more materials on Response Surface here www.theopeneducator.com/doe/Response-Surface-Methodology. This should help answering your questions.
Sir i have done the analysis in the same way for different data set. but analysis of variance table after error option the lack of fit option is missing sir. can you please help me sir
Sir can we optimize more than one output at a time?
Here you go:
th-cam.com/video/ZDSgdN1DhzY/w-d-xo.html
Thanks for watching.
Thanks a lot! I have learnt a lot from your website. Just come here to send a message. :)
Great to hear!
great educational video
Nice one🙏
In the beginning when you select the Define response design nd then you selected the continuous factors, there is a option of coded and uncoded..what should I select? kindly help me because I am getting different results with coded and uncoded .
You will find more here: www.theopeneducator.com/doe
Can I ask if you can help me with plotting this contour plot? It shows blank for me
Can I know if the Lack of fit value is not shown in the results,, It showing star * ..What does it mean..how to explain
Nice one. Thank you
how i incorporate qualitative factor instead of quantitative factor in full 3 factorial design using rsm??
which RSM you used Box-bhekan or CCD?
CCD
sir, if we coded our variables, how can i change into actual variables, the equation
Thanks for your video, I tried to reproduce this example in the trial version of minitab 19. The method is clear to me and I use exactly the same values (even for the axial points, I calculated them in Excel), however I get slightly different results. For example, my Adj SS for the model with 5 DF is 111.984 whereas yours is 109.077. Could this be an version issue, or some setting? Looking forward to your response!
Are the comfort values integers, or are these decimal values?
@@nicoblijham It's not. They are integers.
Unlike ANOVA, regression sums of squares are a bit complicated. However, adjusted sum of square should be the same as long as you have the same model terms. You can send the Minitab file to email@theopeneducator.com . I can check it for you. I do have the Minitab 17 running. More on the response surface: www.theopeneducator.com/doe#TOC-Part-III:-Optimize-the-Important-Factors-Variables
@@TheOpenEducator Oké, I have sent you the file. Thanks in advance :)
@@nicoblijham The analyses were performed using Minitab 17-version. You may get different results with other versions of Minitab. You have done everything correctly. I have double checked. I have got exact same results as yours. My best!
Can anyone help how to download the minitab software
Can we use this method when factors are 5 and responses are 2
?
More on Response Surface: www.theopeneducator.com/doe#TOC-Module-9.-Response-Surface-Methodology . You can provide me with some more detail information on the design.
@@TheOpenEducator please send mail id
@@amitstorm500 email@theopeneducator.com
@@TheOpenEducator please check mail
@@TheOpenEducator sir any suggestions about my send information through mail
i got 96 percent yield , is there any way to increase it to 99 percent
need more information