Optimal and near-optimal pairs for the estimation of effects in 2-level choice experiments

Street, DJ; Burgess, L

Optimal and near-optimal pairs for the estimation of effects in 2-level choice experiments

Street, DJ

Burgess, L

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Publication Type:: Journal Article
Citation:: Journal of Statistical Planning and Inference, 2004, 118 (1-2), pp. 185 - 199
Issue Date:: 2004-01-01

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Field	Value	Language
dc.contributor.author	Street, DJ https://orcid.org/0000-0002-4476-0656	en_US
dc.contributor.author	Burgess, L	en_US
dc.date.issued	2004-01-01	en_US
dc.identifier.citation	Journal of Statistical Planning and Inference, 2004, 118 (1-2), pp. 185 - 199	en_US
dc.identifier.issn	0378-3758	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3456
dc.description.abstract	This paper gives constructions for optimal and near-optimal sets of pairs for the estimation of main effects, and for the estimation of main effects and two factor interactions, in forced choice experiments in which all attributes have two levels. The number of pairs in the sets is much smaller than that in previously constructed optimal 2-level choice experiments. © 2002 Elsevier B.V. All rights reserved.	en_US
dc.relation.ispartof	Journal of Statistical Planning and Inference	en_US
dc.relation.isbasedon	10.1016/S0378-3758(02)00399-3	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	Optimal and near-optimal pairs for the estimation of effects in 2-level choice experiments	en_US
dc.type	Journal Article
utslib.citation.volume	1-2	en_US
utslib.citation.volume	118	en_US
utslib.for	010401 Applied Statistics	en_US
utslib.for	0104 Statistics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
utslib.copyright.status	open_access
pubs.issue	1-2	en_US
pubs.publication-status	Published	en_US
pubs.volume	118	en_US

Abstract:

This paper gives constructions for optimal and near-optimal sets of pairs for the estimation of main effects, and for the estimation of main effects and two factor interactions, in forced choice experiments in which all attributes have two levels. The number of pairs in the sets is much smaller than that in previously constructed optimal 2-level choice experiments. © 2002 Elsevier B.V. All rights reserved.

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http://hdl.handle.net/10453/3456