Full Screening Another View at One-Factor-At-A-Time Designs

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

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Year of publication:	2011
Authors:	Bettonvil, Bert
Publisher:	[2011]: [S.l.] : SSRN
Subject:	Experiment \| Simulation \| Mathematische Optimierung \| Mathematical programming \| Theorie \| Theory

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