Construction of mixed-level fractional factorial split-plot designs with combined minimum aberration

Haosheng Jiang and Chongqi Zhang

Communications in Statistics - Theory and Methods, 2024, vol. 53, issue 21, 7560-7581

Abstract: Running agricultural experiments in split-plot configurations is an efficient way to estimate main-effect contrasts with higher precision. In a fractional factorial split-plot design, the hard-to-vary factors are called whole-plot (WP) treatment factors and the easy-to-vary factors are called subplot treatment factors. Yan and Zhao (2022) proposed the combined minimum aberration criterion of WP (WP-MAc) for mixed-level split-plot designs. This article studies the construction methods of the WP-MAc2(n1+n2)−(k1+k2)41 designs with four-level factor in subplot. Some examples are given to illustrate the theories. Finally, the results of 8, 16, 32, 64 runs WP-MAc2(n1+n2)−(k1+k2)4s1 designs are tabulated for possible employ by practitioners.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2023.2269442 (text/html)
Access to full text is restricted to subscribers.

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:taf:lstaxx:v:53:y:2024:i:21:p:7560-7581

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2023.2269442

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().