DOE from pass production data
How can I get document or clip, how to do to optimize factor for the best results from the pass data.
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I am struggling to find the reason of getting the negative numbers which comes from simulation in DOE. The input dataset has seven Cost Type variables (X) and response variable is Total Cost (Y). I have imputed the data in custom design (see screenshot “DEO Setup_1”). The Min and Max values of the variables are as follows. MinMaxCost Type 111.3118.91Cost Type 28.216.39Cost Type 38.317.88Cost Type ...
My understanding is that D-optimal designs can be good for screening experiments, but you'd better hope there aren't any large interaction effects, otherwise they will bias your main effects, or that you should add some suspected 2-way interactions to your optimal design as a way to avoid aliasing effects. I've been told to avoid Res III fractional factorials, & Plackett-Burman designs for screen...
I have done some basic searching already, but can't find an example matching this scenario. Suppose I wanted to run a typical full or fractional 2-level factorial DOE but there was a covariate I wanted to account for. I was expecting that I could just go to custom design and add the factors and specify one of those as a covariate. It would make the table and fill in the +1 -1 as appropriate for th...
I have the following question: I am working with a fractional factorial design 2^(5−1), evaluating a single response, and adding a central point and a replicate to the effects. The goal is to determine if there are indications of curvature and if there is a difference between replicates, respectively. In the effect summary table, if I exclude the replicate effect and exclude curvature, the model d...
How can I get document or clip, how to do to optimize factor for the best results from the pass data.
My understanding is that D-optimal designs can be good for screening experiments, but you'd better hope there aren't any large interaction effects, otherwise they will bias your main effects, or that you should add some suspected 2-way interactions to your optimal design as a way to avoid aliasing effects. I've been told to avoid Res III fractional factorials, & Plackett-Burman designs for screen...
In pharmaceutical assays we often run controls on the plate which are used purely for the basis of quality control. The controls should not be part of the statistical model used to generate the DoE, and so previously I have tried to generate two DoEs (one for the main experiment, one for the controls) and merge them together. However, this is not trivial when you have a common split-plot setup, as...
Hello, According to the JMP learning model for DOE analysis, non-significant terms in the model can be removed, starting with the non-significant higher order interactions (= model reduction). However, is it really that simple? Are there other things to take into considerations before removing non-significant terms? Does removing a non-significant term necessarily meant that this factor has no/min...
Dear Sir/Madam,I am a consultant for research development, engineering, product development, and manufacture of chemicals, biochemicals, pharmaceutical drugs, supplements, fertilizers, pesticides, health products, CHIPS, Substrates, PCBs, and construction products for the Biotech, Pharmeceutical, Microelectronic, Agriculture, Farming, clinical trials, food, and other general manufacturing.The work...
I have used the interval explorer for parametric reliability life test planning for sample size calculation of accelerated life test. Please can someone confirm if the sample size returned is the total sample size or sample size per stress levels? Assuming I have 3 temperature levels, do I use 75 samples per temperature level or 25?
Hello!I installed a script from a community response regarding the calculation of R²pred, as shown in the image below (I'm using JMP 18 pro): (link da resposta do @erich_gundlach https://community.jmp.com/t5/JMP-Add-Ins/Predicted-R-square-calculator/ta-p/39927) In PRESS, R²pred didn't appear. (Press is low because I haven't reduced the model yet, don't worry =)) I really need to show these R²pre...
I am trying to use the interval explorer for parametric reliability life test planning tool for sample size required for an ALT test but need some clarification on the following questions. 1. Is the Weibull alpha the characteristic life at stress or at use life? 2. Is the Quantile the pFail at stress or use life and how does the quantile impact the required sample size?3. Is the calculated...
Hi, I am completing a DOE and I have ran a fit model using the JMP software to define a design space based on desirability of certain variables, however one of the desirability variables is a simple ratio of two of the construct model effects, however when running the model, the model is defining its own prediction expression for this variable rather than using the formula in the data table. Does ...
As an entry-level user of JMP but with a bit of statistical knowledge. I encountered with a problem when trying to use the stepwise fit platform to develope a regression model for my DoE dataset.
I read the JMP help book and understand how combined rule applied to p-value based stepwise regression (a joint F-test and another partial F-test of interaction effect when added precedent main effects). ...
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