Does JMP's loglikelihood value include a constant?
When JMP shows the loglikelihood value, does it set the constant to 0 or some number? Thanks!
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view all learning resourcesWhen JMP shows the loglikelihood value, does it set the constant to 0 or some number? Thanks!
Hello JMP community,I have a problem, which is probably very simple to solve, but I have become quiet frustrated about it and need help. I want to do a DOE with continious factors, which have more than 2 values. Unfortunately in the Response Surface Design and Custom Design window I can't find any option to add more than the 2 initially defined values. First I thought, that the 2 value define the ...
Hello guys,Im new in JMP and want to do a DOE for a school project. So I want to do a DOE for a mixture with two different compounds, so I have two factors. I did set the mixture ratio of X1 from 0.7 - 1 and X2 0 - 0.3 (X1 should have 100% as a reference).But now I have for my experiment only two different mixtures. Will this be enough or is it possible to increase the number of different mixtures...
JSL runs until a condition is established, ends JSL, and does not perform subsequent JSL runs.Thanks!Break?
exit?
Hi all, I designed a DSD with the following info:- Design: 7 continuous and 1 categorical factors, 22 run- Design Evaluation on power and correlation: very good- Fit model via Fit Definitive Screening: excellentRMSE = 0.2803, RSq =0.997, PValue<0.001)Lack of Fit: no (F Ration 191, Prob > F = 0.0561)Residual and Studentized Residuals are all good- Model structure: Contains 5 main, 4 quadratic and 1...
Hello guys,Im new in JMP and want to do a DOE for a school project. So I want to do a DOE for a mixture with two different compounds, so I have two factors. I did set the mixture ratio of X1 from 0.7 - 1 and X2 0 - 0.3 (X1 should have 100% as a reference).But now I have for my experiment only two different mixtures. Will this be enough or is it possible to increase the number of different mixtures...
Hi all, I designed a DSD with the following info:- Design: 7 continuous and 1 categorical factors, 22 run- Design Evaluation on power and correlation: very good- Fit model via Fit Definitive Screening: excellentRMSE = 0.2803, RSq =0.997, PValue<0.001)Lack of Fit: no (F Ration 191, Prob > F = 0.0561)Residual and Studentized Residuals are all good- Model structure: Contains 5 main, 4 quadratic and 1...
I have three factors - Genotype (5 levels), Nitrogen (2 levels), and manipulation (2 levels). I'm interested in the combination of three factors. I'd like to check how average grain weight responds to defoliation under the different nitrogen conditions. When I analyze it as the full factorial, there was no interaction among genotype x nitrogen x manipulation. However, I want to indicate the diffe...
When doing a Custom Design, sometimes middle levels (other than the highest and lowest) are specified, so it is more than 2 levels. However, Custom Design Default design tends to suppress sampling of these middle levels, putting most weight on the highest and lowest of each parameter. How is this determined? Can we specify to add more in the middle?
Hi everybody, I am quite a beginner regarding DOE and I have a small question.Basically let's say that I have an experiment with several factors. In particular I want to test a component which has two possible levels and I would like to test several concentrations ( 0, 10, 20 or 40). Therefore I created my design with a categorial factor (Component: A, B) and a discrete numeric one (Concentration:...
In Biology (Plant Sci. and Agriculture) usually we have sub-sampling data for replicates. It's very difficult to analyze these data in commonly use Stat S/W (SPSS/Minitab) because MSS(Error) is calculating wrongly. Without taking averages of samsamples, the easiest S/W for this is using JMP and I need some assistance for this. I've found very useful Youtube video about subsampling in JMP (CRD: S...
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