Efficient paired choice designs with fewer choice pairs
Aloke Dey,
Rakhi Singh and
Ashish Das ()
Additional contact information
Aloke Dey: Indian Statistical Institute
Rakhi Singh: IITB-Monash Research Academy
Ashish Das: Indian Institute of Technology Bombay
Metrika: International Journal for Theoretical and Applied Statistics, 2017, vol. 80, issue 3, No 4, 309-317
Abstract:
Abstract For paired choice experiments, two new construction methods of designs are proposed for the estimation of the main effects. In many cases, these designs require about 30–50% fewer choice pairs than the existing designs and at the same time have reasonably high D-efficiencies for the estimation of the main effects. Furthermore, as against the existing efficient designs, our designs have higher D-efficiencies for the same number of choice pairs.
Keywords: Choice design; Hadamard matrix; Main effects; Orthogonal array (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00184-016-0605-9 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:metrik:v:80:y:2017:i:3:d:10.1007_s00184-016-0605-9
Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2
DOI: 10.1007/s00184-016-0605-9
Access Statistics for this article
Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze
More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().