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Stratification pattern enumerator and its applications

delete2023-11-14
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PRE
AI
田野 (Ye Tian)
H
Hongquan Xu *
DOI:10.1093/jrsssb/qkad125delete
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Abstract

Abstract

En 中文
Space-filling designs are widely used in computer experiments. A minimum aberration-type space-filling criterion was recently proposed to rank and assess a family of space-filling designs including orthogonal array-based Latin hypercubes and strong orthogonal arrays. However, it is difficult to apply the criterion in practice because it requires intensive computation for determining the space-filling pattern, which measures the stratification properties of designs on various subregions. In this article, we propose a stratification pattern enumerator to characterise the stratification properties. The enumerator is easy to compute and can efficiently rank space-filling designs. We show that the stratification pattern enumerator is a linear combination of the space-filling pattern. Based on the connection, we develop efficient algorithms for calculating the space-filling pattern. In addition, we establish a lower bound for the stratification pattern enumerator and present construction methods for designs that achieve the lower bound using multiplication tables over Galois fields. The constructed designs have good space-filling properties in low-dimensional projections and are robust under various criteria.
Keywords:
computer experiment
generalised minimum aberration
NRT-distance
space-filling design
space-filling hierarchy principle
strong orthogonal array

Journal

J
Journal of the Royal Statistical Society Series B-Statistical Methodology
IF:
3.6
Papers:
1.5K
Citations:
3.2W

Organization

B
beijing university of posts & telecommunications
Scholars:
1.4W
Papers: 1.2W
Citations: 9
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K