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What is Learnable in Valiant's Theory of the Learnable? 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The general Nature of Saturated Designs
Francois Domagni, Samad Hedayat, Sinha Bikas · 2019-08-09 · via math.ST updates on arXiv.org

We contemplate an experimental situation in a $2^k$-factorial experiment with acute resource crunch so that we need to conduct just a saturated design [SD] - with the understanding that precision of the estimates cannot be estimated from the data. It is known beforehand which effect(s)/interaction(s) are likely to be negligible. We examine the flexibility to the extent that an experimenter can make a choice of an SD in order to retain information on all the remaining [non-negligible] effects/interactions.

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