Random decimals incorporated in mixture screening design
Hi :) I wonder why JMP introduces the four highlighted numbers (yellow) in the design (0.025064, 0.024936, 0.025089 and 0.024911)? Why are these four values not 0.025?
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view all learning resourcesHi :) I wonder why JMP introduces the four highlighted numbers (yellow) in the design (0.025064, 0.024936, 0.025089 and 0.024911)? Why are these four values not 0.025?
Hello,I would like to set a RSM DOE using factors A1, D1, A2 and D2:But excluding all combination of factors that give a value of (A2/A1)*(B1/B2) lower than 0.1 and higher than 10.I inserted the following line as a Disallowed Combinations Expression: However, I still get 0.01 and 100 for the (A2/A1)*(B1/B2) in the proposed experiment set: Where is the problem in the script? Why doesn’t it work the...
Hi,I was wondering if there is a way to determine the sample size as a function of %CV (Coefficient of Variation) by using JMP 17.
Hallo, Ich habe eine Reihe von Experimenten mit DoE (Wirkungsflächendesign) erstellt. Nachdem ich die Experimente durchgeführt hatte, erhielt ich ein Pareto-Diagramm bei einem Signifikanzniveau von 0,02, in dem eine Referenzlinie (blaue Linie) eingezeichnet ist. Ich würde gerne wissen, bei welchem Wert meine Referenzlinie liegt? Kann ich den Wert berechnen lassen? Vielen Danke Grüße
6 Factor CCD, 9 CP vs 14, the labels should be switched. 9 is UP, 14 is Orth.
Hi,I was wondering if there is a way to determine the sample size as a function of %CV (Coefficient of Variation) by using JMP 17.
Hallo, Ich habe eine Reihe von Experimenten mit DoE (Wirkungsflächendesign) erstellt. Nachdem ich die Experimente durchgeführt hatte, erhielt ich ein Pareto-Diagramm bei einem Signifikanzniveau von 0,02, in dem eine Referenzlinie (blaue Linie) eingezeichnet ist. Ich würde gerne wissen, bei welchem Wert meine Referenzlinie liegt? Kann ich den Wert berechnen lassen? Vielen Danke Grüße
6 Factor CCD, 9 CP vs 14, the labels should be switched. 9 is UP, 14 is Orth.
I'm currently working on a Design of Experiments (DOE) for a process that involves temperature shifts at three different times. My challenge is incorporating a 'No Shift' scenario as one of the factors. My initial idea was to:Treat the three time points for temperature shifts (1 hour, 2 hours, 3 hours) as a continuous factor.Introduce a 'No Shift' scenario as a categorical factor (yes/no).However,...
I have to factors and am trying to model a response. I only have 12 allowable runs and blocks are not an option here. I'm trying to figure which is the best approach here to optimize, assess curvature behavior and get the most out of the data. Here is my design: The resulting DoE (full factorial, 1 replicate, 3 center points) seems good but under Fit Model, it says I'm not to estimate quadratic te...
Hi all. So I'm working on a project where I have 2 x component classes, each of which has 4 items within the class, which are mixed together at varying concentrations over 48 combinations. Figured the best Factor way to do this was to use 2 x Continuous for the max/min concentrations for each class, then 2 x 4-level Categoricals for each of the items. Each of the combinations was made twice, so af...
Hello community!!,A question: will it be possible for the profiler to find the best combinations of factors with uncertainty when performing a simulation, which maximize the total utility and minimize the total cost, generating a table of the best combinations found? For example:
Definitely, JMP is Not a Spreadsheet . And that's great!!
Besides this difference, there are other places where Jmp doesn't do/behave/produce what a newbie / innocent Jmp user expects.
If a user knows these issues and the remedies and workarounds - he/she can
a) save a lot of time
b) be safe from data loss
c) be sure that the results are as expected.
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