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Statistica Sinica 26 (2016), 653-674 doi:http://dx.doi.org/10.5705/ss.2014.246

BI-DIRECTIONAL SLICED LATIN HYPERCUBE DESIGNS
Qiang Zhou1, Tian Jin2, Peter Z. G. Qian3 and Shiyu Zhou3
1City University of Hong Kong, 2Shanghai University of Finance and Economics
and 3University of Wisconsin-Madison

Abstract: We propose a new type of design for computer experiments called bi-directional sliced Latin hypercube design (BSLHD). The proposed design is a special Latin hypercube design (LHD) that simultaneously accommodates two slicing structures. It consists of multiple LHDs of smaller sizes, which can be joined in alternative ways to form two sets of standard sliced LHDs. These new structures are useful for computer experiments with qualitative factors, experiments running in batch mode, and ensembles of multiple computer models. Some sampling properties of the designs in estimating function means are proved and illustrated through numerical examples.

Key words and phrases: Bi-directional slicing, computer experiment, experimental design, qualitative factors, sliced Latin hypercube design.

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