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Jun 26, 2013 7:06 PM
(1960 views)

Hi,

I am designing an experiment using custom design in JMP. Number of variables and their levels is high, so I cannot do a full factorial design, but I could have more runs than the minimum that JMP gives me. My question is that which one is better; to have more replications or to have more runs?

Thanks

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Jun 27, 2013 9:05 AM
(3244 views)

Solution

They look very comparable. When I ran the algorithm and giving it 1000 starts under the red triangle my results were lightly different.

I wouldn't lose sleep over either choice.

How about a compromise with 2 replicates and 18 runs total? I have attached all three scenarios with the same simulated response model for you to see. Just run the Fit model scripts.

As you can see all approaches are comparable.

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Jun 27, 2013 5:31 AM
(1622 views)

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Jun 27, 2013 7:44 AM
(1622 views)

Thanks for your answer.

Let me clarify my question. My variables are as following:

I have the possibility of having 18 runs. I could set user specified to 18 or I could change the "Number of Replicate Runs" to 4 which result in 18 runs. Here are the result of both approach:

Specifying 18 in "user specified" field:

change the "Number of Replicate Runs" to 4:

Could you please let me know how to decide based on these results.

Thanks!

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Jun 27, 2013 9:05 AM
(3245 views)

They look very comparable. When I ran the algorithm and giving it 1000 starts under the red triangle my results were lightly different.

I wouldn't lose sleep over either choice.

How about a compromise with 2 replicates and 18 runs total? I have attached all three scenarios with the same simulated response model for you to see. Just run the Fit model scripts.

As you can see all approaches are comparable.

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Jun 27, 2013 9:17 AM
(1622 views)

Thanks!

Is it possible for you to give me an example that one approach is preferable to the other one?

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Jun 27, 2013 9:30 AM
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Jun 27, 2013 9:47 AM
(1622 views)

Ya, I did not include two-way interactions since it increases the number of runs.

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Jun 27, 2013 10:15 AM
(1622 views)

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Jun 27, 2013 10:24 AM
(1622 views)

My experiment is actually designing intersections in driving simulator. each run setting will be an intersection, and each variable is associated with a condition of the intersection (for example variable "pavement condition" with two levels of "wet" and "dry". It is good to have two-way interactions, but as we hire drivers, more number of runs would be expensive.

No, none of my factors could be continuous.

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Jun 27, 2013 10:39 AM
(1622 views)