Designs for first-order interactions in paired comparison experiments with two-level factors
Designs for first-order interactions in paired comparison experiments with two-level factors
For paired comparison experiments involving options described by a common set of two-level factors a new method for generating exact designs is presented. These designs allow the efficient estimation of main effects and first order interactions and perform better than alternative designs available in the literature.
design construction, optimal design, paired comparisons
2395-2401
Großmann, Heiko
55c80d59-2d04-4400-ac62-74bef3d6424f
Schwabe, Rainer
2558df3d-e890-4c8e-aa01-a43507ad274d
Gilmour, Steven G.
984dbefa-893b-444d-9aa2-5953cd1c8b03
22 February 2012
Großmann, Heiko
55c80d59-2d04-4400-ac62-74bef3d6424f
Schwabe, Rainer
2558df3d-e890-4c8e-aa01-a43507ad274d
Gilmour, Steven G.
984dbefa-893b-444d-9aa2-5953cd1c8b03
Großmann, Heiko, Schwabe, Rainer and Gilmour, Steven G.
(2012)
Designs for first-order interactions in paired comparison experiments with two-level factors.
Journal of Statistical Planning and Inference, 142 (8), .
(doi:10.1016/j.jspi.2012.02.033).
Abstract
For paired comparison experiments involving options described by a common set of two-level factors a new method for generating exact designs is presented. These designs allow the efficient estimation of main effects and first order interactions and perform better than alternative designs available in the literature.
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Published date: 22 February 2012
Keywords:
design construction, optimal design, paired comparisons
Organisations:
Statistics
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Local EPrints ID: 337614
URI: http://eprints.soton.ac.uk/id/eprint/337614
ISSN: 0378-3758
PURE UUID: b73bd30e-f2be-498f-9e9b-e1809b53e7f2
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Date deposited: 01 May 2012 10:25
Last modified: 14 Mar 2024 10:56
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Contributors
Author:
Heiko Großmann
Author:
Rainer Schwabe
Author:
Steven G. Gilmour
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