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Mixture discrepancy on symmetric balanced designs

A.M. Elsawah and Hong Qin

Statistics & Probability Letters, 2015, vol. 104, issue C, 123-132

Abstract: Mixture discrepancy is more reasonable than other discrepancies for measuring the uniformity from different aspects such as the intuitive view, the uniformity of sub-dimension projection, the curse of dimensionality and the geometric property of the kernel function. In this paper, we discuss in depth the mixture discrepancy as the uniformity measure for symmetric two-, three- and four-level balanced designs.

Keywords: Mixture discrepancy; Uniform designs; Symmetric balanced designs; Lower bounds (search for similar items in EconPapers)
Date: 2015
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