This website uses Cookies. Click Accept to agree to our website's cookie use as described in our Privacy Policy. Click Preferences to customize your cookie settings.
Accept
Reject
Preferences
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Submit your abstract to the call for content for Discovery Summit Americas by April 23. Selected abstracts will be presented at Discovery Summit, Oct. 21- 24.
Discovery is online this week, April 16 and 18. Join us for these exciting interactive sessions.
Choose Language Hide Translation Bar
slemoult1
slemoult1
Level II

Best design for a DOE with 3 variables and one 4 level categorical

Mar 5, 2020 08:17 AM (3606 views)

dear all

I am looking to find the best design with the following: 3 variables and 4 level categoricals. I have for now a custom design RSM with 28 sets. is there anything better?

Ideally I would like to reduce it to 15 sets.

Many Thanks in advance

Kind regards

Stephanie

 

0 Kudos
10 REPLIES 10
statman
Super User statman
Super User

Re: Best design for a DOE with 3 variables and one 4 level categorical

Mar 5, 2020 11:06 AM (406 views)  |  Posted in reply to message from statman 03-05-2020

Perhaps beyond the scope of your question, but the factors that affect design selection are:

  • Constraints: Time, money, measurement capability, etc. How many treatments can be made?
  • How many factors are to be manipulated (the number of hypotheses to be compared)?
  • How will noise be managed or partitioned?
  • Are some factors harder to change than others?  Are there other restrictions on randomization?
  • Are interactions (or other higher order effects) suspected/predicted?
    • What is the desired resolution? (What effects do you want to estimate/separate?)
"All models are wrong, some are useful" G.E.P. Box