Article ID Journal Published Year Pages File Type
5129569 Journal of Statistical Planning and Inference 2017 10 Pages PDF
Abstract

•The relationship between the averaged discrepancy and generalized wordtype pattern is established.•A new algorithm to construct uniform U-designs is proposed.•The advantage is illustrated by comparing with the threshold-accepting algorithm.

Orthogonal array-based Latin hypercubes, also called U-designs, have popularly been adopted for designing a computer experiment. The relationship between the averaged discrepancy of all U-designs generated from a given orthogonal array and the generalized wordtype pattern of the orthogonal array is established. Motivated by the relationship, we define a weighted wordtype pattern and a minimum weighted aberration criterion to compare orthogonal arrays of the same parameters. U-designs generated from an orthogonal array with less weighted aberration are shown to have low discrepancies on average. Then, an algorithm to construct uniform U-designs is proposed. It begins with a minimum weighted aberration orthogonal array and its advantage is illustrated by comparing with the threshold-accepting algorithm.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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