The general Nature of Saturated Designs
Statistics Theory
2019-11-01 v2 Statistics Theory
Abstract
We contemplate an experimental situation in a -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.
Keywords
Cite
@article{arxiv.1908.03317,
title = {The general Nature of Saturated Designs},
author = {Francois Domagni and Samad Hedayat and Sinha Bikas},
journal= {arXiv preprint arXiv:1908.03317},
year = {2019}
}