Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1151857 | Statistics & Probability Letters | 2015 | 10 Pages |
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
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
A.M. Elsawah, Hong Qin,