@techreport{f9d6c1bee9e244f7978cdc65163d6123,
title = "Full Screening Another View at One-Factor-at-a-Time Designs",
abstract = "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.",
keywords = "simulation, design of experiments, optimization, screening",
author = "B.W.M. Bettonvil",
note = "Pagination: 14",
year = "2010",
language = "English",
volume = "2010-139",
series = "CentER Discussion Paper",
publisher = "Information Management",
type = "WorkingPaper",
institution = "Information Management",
}