Can JMP be used to run the derivation of Darcy's law to calculate the N value of permeability?
我们目前正在进行一项实验,使用滴定管测试灯芯的渗透性。我正在研究JMP是否可以用来计算N值,希望能得到你的帮助
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view all learning resources我们目前正在进行一项实验,使用滴定管测试灯芯的渗透性。我正在研究JMP是否可以用来计算N值,希望能得到你的帮助
Hello, I need to define optimal settings of 2 process parameters taking into account multiple Y variables (in JMP 18.1). For example: the optimal Temperature and Time settings to obtain a cake with maximum leavening and minimum humidity content.It seems that through "Custome profile" you could only maximize (or minimize) both Y variables.
Are definitive screening designs and optimal DoE in JMP (basic) or JMP pro ?Thanks
hi, I have a mixture design with 3 factors and 6 runs initially to perform my experiments, before performing experiments I would like to know whether my design is valid or not? I have used I optimal criterion and have 6 runs without centre points, with 3 mixture factors in 2 levels
Hi everyone.
I am pretty new with JMP so pardon m eif the question sounds silly to you.
We are trying to set up a custom experimental design, in which we want to optimize a continuous response, working with 5 continuous factors, one discrete factor and two constants.
While we want to explore the effect of the factors on the response, we have parallely developed a relationship within the factors: for ...
我们目前正在进行一项实验,使用滴定管测试灯芯的渗透性。我正在研究JMP是否可以用来计算N值,希望能得到你的帮助
Are definitive screening designs and optimal DoE in JMP (basic) or JMP pro ?Thanks
hi, I have a mixture design with 3 factors and 6 runs initially to perform my experiments, before performing experiments I would like to know whether my design is valid or not? I have used I optimal criterion and have 6 runs without centre points, with 3 mixture factors in 2 levels
Hi everyone.
I am pretty new with JMP so pardon m eif the question sounds silly to you.
We are trying to set up a custom experimental design, in which we want to optimize a continuous response, working with 5 continuous factors, one discrete factor and two constants.
While we want to explore the effect of the factors on the response, we have parallely developed a relationship within the factors: for ...
How do you tell the simulator to use inverse quantity-price correlation?Hello community, how can you tell the JMP simulator to generate simulations using inverse correlation, for example quantity - price... the higher the quantity, the lower the price.Greetings;Marco
Hello, I am still new to JMP but I'm trying to determine the best way to model a non-linear system (generating DOE + model fitting). Context: Long story short, I have a large experimental space that I am trying to model (10 discrete variables + 10 continuous variables). Before I jump into my full experiment I'm working with a subset (1 discrete variable + 5 continuous variables) to make sure I'm m...
Hello! I appreciate your help in advance! I am currently trying to figure out the proper way to analyze my data! I had used the DOE feature of JMP to create this fraction factorial of 24 runs for m experiment. The goal is two screen which categories have the most effect on the success rate. I had initially use the response screening option to analyze my results, when I did that none of my values...
Hi everyone, I'm currently engaged in a process development project with the goal of 1) minimizing the total process time while 2) maintaining or enhancing the yield. This objective is similar to viral vector production case, where maximizing virus yield in the shortest production time is crucial. After consulting with subject matter experts, we've pinpointed 10 factors for potential modification....
If you have are making a design with a factor you are certain will have a quadratic relationship against a response but you have a wide range, can it be helpful to define a 3rd order model effect for that factor to better identify and model curvature. I work in purification and we often deal with a recovery vs. purity balance. This relationship is usually quadratic around the optimal, where at a l...
Hello community!!A query:- How JMP is configured to generate neural networks that learn from their inputs in real time (incremental learning) in such a way that it continually updates its weights according to new inputs and generates updated real-time predictions.Greetings,Marco
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