52 citations · 58 across the 5 of their papers we have counts for
5 papers
Grouped Orthogonal Arrays and Their Applications
Guangzhou Chen, Yuanzhen He, C. Devon Lin +1
In computer experiments, it has become a standard practice to select the inputs that spread out as uniformly as possible over the design space. The resulting designs are called spa…
Construction of Marginally Coupled Designs by Subspace Theory
Yuanzhen He, C. Devon Lin, Fasheng SUn
Recent researches on designs for computer experiments with both qualitative and quantitative factors have advocated the use of marginally coupled designs. This paper proposes a gen…
A New and Flexible Design Construction for Orthogonal Arrays for Modern Applications
Yuanzhen He, C. Devon Lin, Fasheng Sun
Orthogonal array, a classical and effective tool for collecting data, has been flourished with its applications in modern computer experiments and engineering statistics. Driven by…
Doubly Coupled Designs for Computer Experiments with both Qualitative and Quantitative Factors
Feng Yang, C. Devon Lin, Yongdao Zhou +1
Computer experiments with both qualitative and quantitative input variables occur frequently in many scientific and engineering applications. How to choose input settings for such…
A characterization of strong orthogonal arrays of strength three
Yuanzhen He, Boxin Tang
In an early paper, He and Tang [Biometrika 100 (2013) 254-260] introduced and studied a new class of designs, strong orthogonal arrays, for computer experiments, and characterized…