An efficient method for identifying clear effects in blocked fractional factorial designs

Mingyao Ai and Shuyuan He

Statistics & Probability Letters, 2006, vol. 76, issue 17, 1889-1894

Abstract: This paper presents a unified numerical method based on the double coincidence distribution for identifying clear or strongly clear main effects or two-factor interactions in a blocked regular fractional factorial design. An example illustrates that it is much more efficient to carry out this method by computer programming than when using the original definitions of clear or strongly clear effects.

Keywords: Blocked; Clear; effect; Fractional; factorial; design; Minimum; aberration; Regular (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(06)00155-6
Full text for ScienceDirect subscribers only

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:eee:stapro:v:76:y:2006:i:17:p:1889-1894

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().