Using Discrepancy to Evaluate Fractional Factorial Designs

Fractional factorial design is arguably the most widely used design in experimental investigation, and uniformity has gained popularity in experimental designs in recent years. In this present paper, a suitable measure of uniformity, i.e. a discrete discrepancy, is defined by the reproducing kernel Hilbert space, and is used to evaluate the uniformity of fractional factorial designs. Some relations between orthogonality and uniformity in fractional factorial designs are obtained. The results show that orthogonality and uniformity are strongly related to each other and the discrepancy plays an important role in evaluating such experimental designs.

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