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Construction of orthogonal Latin hypercube designs with flexible run sizes
Authors:Fasheng Sun  Min-Qian Liu  Dennis KJ Lin
Institution:1. Department of Statistics, School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China;2. Department of Statistics, The Pennsylvania State University, University Park, PA 16802, USA;3. School of Statistics, Renmin University of China, Beijing 100872, China
Abstract:Latin hypercube designs (LHDs) have recently found wide applications in computer experiments. A number of methods have been proposed to construct LHDs with orthogonality among main-effects. When second-order effects are present, it is desirable that an orthogonal LHD satisfies the property that the sum of elementwise products of any three columns (whether distinct or not) is 0. The orthogonal LHDs constructed by Ye (1998), Cioppa and Lucas (2007), Sun et al. (2009) and Georgiou (2009) all have this property. However, the run size n of any design in the former three references must be a power of two (n=2c) or a power of two plus one (n=2c+1), which is a rather severe restriction. In this paper, we construct orthogonal LHDs with more flexible run sizes which also have the property that the sum of elementwise product of any three columns is 0. Further, we compare the proposed designs with some existing orthogonal LHDs, and prove that any orthogonal LHD with this property, including the proposed orthogonal LHD, is optimal in the sense of having the minimum values of ave(|t|), tmax, ave(|q|) and qmax.
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