Article ID Journal Published Year Pages File Type
1151857 Statistics & Probability Letters 2015 10 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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