Construction of sliced maximin-orthogonal Latin hypercube designs

Jinyu Yang, Hao Chen, Dennis K.J. Lin, Min Qian Liu

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A sliced Latin hypercube design is a special Latin hypercube design that can be divided into slices of smaller Latin hypercube designs. This type of designs is useful for computer experiments with qualitative and quantitative factors, multiple experiments, data pooling, and cross-validation. Orthogonality and uniformity are important properties for Latin hypercube designs. In this paper, sliced maximin-orthogonal Latin hypercube designs are constructed using orthogonal designs, Goethals-Seidel arrays, and Kharaghani arrays. The resulting designs have both second-order orthogonality and good uniformity.

Original languageEnglish (US)
Pages (from-to)589-603
Number of pages15
JournalStatistica Sinica
Volume26
Issue number2
DOIs
StatePublished - Apr 2016

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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