DOE
Hallo,I have three factors. for each one i have 3 Levels .I want to make a Design with only 9 runs .Can you please tell me how to do this.Thank you in advance.
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view all learning resourcesHallo,I have three factors. for each one i have 3 Levels .I want to make a Design with only 9 runs .Can you please tell me how to do this.Thank you in advance.
I am trying to fit a model to a 17-run DSD with 4 factors. I am evaluating two methods of doing so: the 'Fit Definitive Screening' platform that is recommended by JMP documentation, as well as the older forward selection method with minimum AICC as the criterion. Based on domain knowledge, I would have expected a quadratic effect for factor B which looks like a plateau, with the low level being si...
Background: Suppose I have rows of x, y data (SN_C, Value [Sigma Units]) as shown in attached file but also pasted below. Slope_8 is calculated from the previous 8 [x.y] values. I want to compare the slope_8 value to the null hypothesis for linear regression (slope =0) and provide a p-value. Is there an easy way to do this? The formula for the slope 8 was taken from these discussion boards (@txn...
Hello! I'm designing an experiment with 5 factors. Factor X1 is Ingredient Type, a two-level categorical variable (Ingredient A or Ingredient B). But we also want to investigate the concentration of both ingredients. Ingredient A has a range of 5% to 20%, while Ingredient B has a range of 1% to 10%. I can't include this as three independent factors. I see two reasonable options:- Run two seq...
Hello,
I am trying to create a custom DOE in order to maximize the response yield of a target quantity as a function of two continuous factors and one 2nd level categorical factor. The interactions of these factors are of the third order, and I am specifying 2 center points. However, I also want to define axial values to set axial positions such that I get a rotatable surface, similar to that of a ...
Hallo,I have three factors. for each one i have 3 Levels .I want to make a Design with only 9 runs .Can you please tell me how to do this.Thank you in advance.
I am trying to fit a model to a 17-run DSD with 4 factors. I am evaluating two methods of doing so: the 'Fit Definitive Screening' platform that is recommended by JMP documentation, as well as the older forward selection method with minimum AICC as the criterion. Based on domain knowledge, I would have expected a quadratic effect for factor B which looks like a plateau, with the low level being si...
Hello! I'm designing an experiment with 5 factors. Factor X1 is Ingredient Type, a two-level categorical variable (Ingredient A or Ingredient B). But we also want to investigate the concentration of both ingredients. Ingredient A has a range of 5% to 20%, while Ingredient B has a range of 1% to 10%. I can't include this as three independent factors. I see two reasonable options:- Run two seq...
Dear Community,
I have created a design with 12 factors, 11 of them are continuous and the last one is discrete numeric with three levels. I decided to add 30 midpoints (see attached screenshot of the experimental design). Why are the factors of the midpoints not randomly distributed?
I tried the model with fewer factors, and the midpoints were randomly distributed as desired.
I also tried increasin...
Is there a template to have design tolerance stack-up from JMP 17 Pro?
Related to the previous post How to get "Effect size" column with Response Screening functionality , I am also wondering how effect size in the response screening platform is calculated, specifically for categorical Y vs continuous X. JMP help shows: "When Y is categorical and X is continuous, the effect size is the square root of the average ChiSquare value for the whole model test." Running b...
We want to rank the preference of population of animals for n different recipes. Recipes are tested in two-choice assays, where groups of over 100 individuals can choose one choice or the other. Preference for the group is computed as a preference index, a continuous variable that is between -1 and 1. Is there an experimental design that would help reduce the number of combinations to test in ord...
这是个异想天开的问题: 大家都说股票价格的未来走势预测是艺术、不是科学。
但我还是想看看JMP具体哪里模型能用于这方面。 我尝试过使用决策树、随机森林、xgboost。
还使用了DOE制作了均匀试验表来进行分类统计。
虽然这不是一个很好的问题、但还是非常期待专家们的回答。非常感谢!
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