On the nature of saturated 2k- factorial designs for unbiased estimation of non-negligible parameters

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