Nested strong orthogonal arrays
Chunwei Zheng,
Wenlong Li and
Jian-Feng Yang ()
Additional contact information
Chunwei Zheng: Nankai University
Wenlong Li: Beijing Jiaotong University
Jian-Feng Yang: Nankai University
Statistical Papers, 2024, vol. 65, issue 9, No 4, 5503-5528
Abstract:
Abstract Nested space-filling designs are popular for conducting multiple computer experiments with different levels of accuracy. Strong orthogonal arrays (SOAs) are a special type of space-filling designs which possess attractive low-dimensional stratifications. Combining these two kinds of designs, we propose a new type of design called a nested strong orthogonal array. Such a design is a special nested space-filling design that consists of two layers, i.e., the large SOA and the small SOA, where they enjoy different strengths, and the small one is nested in the large one. The proposed construction method is easy to use, capable of accommodating a larger number of columns, and the resulting designs possess better stratifications than the existing nested space-filling designs in two dimensions. The construction method is based on regular second order saturated designs and nonregular designs. Some comparisons with the existing nested space-filling designs are given to show the usefulness of the proposed designs.
Keywords: Computer experiment; Nested space-filling design; Strong orthogonal array; Second order saturated design (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00362-024-01609-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:stpapr:v:65:y:2024:i:9:d:10.1007_s00362-024-01609-2
Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362
DOI: 10.1007/s00362-024-01609-2
Access Statistics for this article
Statistical Papers is currently edited by C. Müller, W. Krämer and W.G. Müller
More articles in Statistical Papers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().