EconPapers    
Economics at your fingertips  
 

Theory and applications of stratification criteria based on space-filling pattern and projection pattern

Xinqi Zhang, Yaping Wang and Fasheng Sun ()
Additional contact information
Xinqi Zhang: Northeast Normal University
Yaping Wang: East China Normal University
Fasheng Sun: Northeast Normal University

Metrika: International Journal for Theoretical and Applied Statistics, 2025, vol. 88, issue 4, No 2, 445-468

Abstract: Abstract Space-filling designs are crucial for computer experiments. The quality of a space-filling design can be appropriately reflected by its stratification properties. In a recent paper, Tian and Xu (Biometrika 109(2):489–501, 2022) introduced the concept of a space-filling pattern to properly characterize a design’s stratification properties on various grids. In this study, we generalize the space-filling pattern using arbitrary orthonormal contrasts. We also propose a new pattern called the two-dimensional projection pattern to capture the stratification properties of balanced designs in two dimensions more comprehensively. We derive some theoretical results for both patterns and show that they are easier to compute and apply to a wider range of designs. We further show the use of the two patterns in constructing space-filling designs based on existing strong orthogonal arrays.

Keywords: Computer experiment; Stratification property; Strong orthogonal array; Space-filling design (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00184-024-00964-2 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:metrik:v:88:y:2025:i:4:d:10.1007_s00184-024-00964-2

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2

DOI: 10.1007/s00184-024-00964-2

Access Statistics for this article

Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze

More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-06-03
Handle: RePEc:spr:metrik:v:88:y:2025:i:4:d:10.1007_s00184-024-00964-2