Quad folding: a simple idea for the subjective property characterization of large sample sets

Richard W. Miller

Journal of Applied Statistics, 2012, vol. 39, issue 3, 573-580

Abstract: Quad analysis has proven useful for characterizing subjective properties, primarily properties such as carpet hand and body in the textile industry. In essence, it provides an efficient method for conducting paired comparisons, the preferred method for quantifying such properties. An extension to quad analysis, quad folding of one quad design into another, is likewise an efficient method to rank order the subjective properties of larger data sets. A rank ordering of 62 carpets by their body is provided as an example of folding six groups of eight carpets (two replicated) into one another.

Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/02664763.2011.604307 (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:japsta:v:39:y:2012:i:3:p:573-580

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664763.2011.604307

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().