Sequential analysis of 3m supersaturated factorial experiments

In this paper, designs that allow for the estimation of all main effects, and the detection and estimation of significant interactions in fewer runs than used in traditional approaches are examined. Specifically, a method for sequentially analyzing data from 3m fractional factorial experiments is presented. The procedure is illustrated through two examples.