Full Screening Another View at One-Factor-at-a-Time Designs

B.W.M. Bettonvil

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Textbooks on Design Of Experiments invariably start by explaining why one-factor-at-a -time (OAT) is an inferior method. Here we will show that in a model with all interactions a variant of OAT is extremely efficient, provided that we only have non-negative parameters and that there are only a few large parameters. In the extreme, this means that there is one positive parameter. In that case, for m variables, that is, for 2m-1 parameters, the procedure only needs m+2 observations to find. In other examined cases, the proposed method is also very fast.
Original languageEnglish
Place of PublicationTilburg
PublisherInformation Management
Number of pages14
Publication statusPublished - 2010

Publication series

NameCentER Discussion Paper


  • simulation
  • design of experiments
  • optimization
  • screening


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