Partial Duplication of Factorial Experiments

Abstract

Two level factorial and fractional factorial designs are described in which a subset of the treatment combinations are duplicated. The duplicate runs provide an unbiased estimate of the experimental error variance and more reliable estimates of the effects. Several analysis procedures are described and a numerical example is given. Designs for partially duplicated two level factorial and fractional factorial designs are proposed for as many as eleven factors.

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