Construction of resolvable incomplete block designs for estimating main effects with full efficiency

Pratheesh P. Gopinath, Rajender Parsad and B. N. Mandal

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 6, 1923-1936

Abstract: Resolvable incomplete block designs are often used in many asymmetrical and symmetrical factorial experiments. In this article, two new methods of constructions are proposed to obtain resolvable incomplete block designs for asymmetrical and symmetrical factorial experiments. Designs generated using the proposed methods have orthogonal factorial structure and all main effects are estimated with full efficiency and balance. A catalogue of designs obtainable by this method with number of levels of any factor ≤12 is presented along with their efficiency factors.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1942047 (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:52:y:2023:i:6:p:1923-1936

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

DOI: 10.1080/03610926.2021.1942047

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 ().