Uniformity pattern of q-level factorials under mixture discrepancy
Kang Wang,
Zujun Ou,
Jiaqi Liu and
Hongyi Li ()
Additional contact information
Kang Wang: Jishou University
Zujun Ou: Jishou University
Jiaqi Liu: Hunan University
Hongyi Li: Jishou University
Statistical Papers, 2021, vol. 62, issue 4, No 9, 1777-1793
Abstract:
Abstract The objective of this paper is to discuss the issue of the projection uniformity of factorial designs measured by mixture discrepancy. The average projection discrepancy of combinatorially isomorphic designs obtained by level permutation on each factor is defined, which measures the projection uniformity on different dimensions. The uniformity pattern and minimum projection uniformity criterion for selecting optimal design are defined for q-level designs. The relationships between uniformity pattern, orthogonality and generalized word-length pattern are built. Moreover, a tight lower bound of uniformity pattern is also obtained.
Keywords: Average projection discrepancy; Generalized minimum aberration; Lower bound; Mixture discrepancy; Orthogonality; 62K15; 62K05; 62K99 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s00362-019-01155-2 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:62:y:2021:i:4:d:10.1007_s00362-019-01155-2
Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362
DOI: 10.1007/s00362-019-01155-2
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 ().