Abstract
Blocking is commonly used in design of experiments to reduce systematic variation and increase precision of effect estimation. For 2n-k designs in 2p blocks, others have studied the confounding pattern between blocking effects and treatment effects and proposed some criteria to choose optimal blocking schemes. We propose alternative criteria that allow estimation of more lower-order effects. Extensions to three-level fractional factorial design are considered, and tables of useful designs are given.
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