Measures of uniformity in experimental designs: A selective overview

E. Androulakis, K. Drosou, C. Koukouvinos and Y.-D. Zhou

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 13, 3782-3806

Abstract: Discrepancies are measures which are defined as the deviation between the empirical and the theoretical uniform distribution. In this way, discrepancy is a measure of uniformity which provides a way of construction a special kind of space filling designs, namely uniform designs. Several discrepancies have been proposed in recent literature. A brief, selective review of these measures including some construction algorithms are given in this paper. Furthermore, a critical discussion along with some comparisons is provided, as well.

Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/03610926.2014.966843

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