Optimal designs for choice experiments with asymmetric attributes

Burgess, L; Street, DJ

Optimal designs for choice experiments with asymmetric attributes

Burgess, L Street, DJ

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Publication Type:: Journal Article
Citation:: Journal of Statistical Planning and Inference, 2005, 134 (1), pp. 288 - 301
Issue Date:: 2005-09-01

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Field	Value	Language
dc.contributor.author	Burgess, L	en_US
dc.contributor.author	Street, DJ https://orcid.org/0000-0002-4476-0656	en_US
dc.date.issued	2005-09-01	en_US
dc.identifier.citation	Journal of Statistical Planning and Inference, 2005, 134 (1), pp. 288 - 301	en_US
dc.identifier.issn	0378-3758	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3447
dc.description.abstract	In this paper we establish the form of the optimal design for choice experiments in which attributes need not have the same number of levels for testing main effects only, when there are k attributes, and all choice sets are of size m. We give a construction for optimal and near-optimal designs with small numbers of choice sets. We derive the general form of the determinant of the information matrix for estimating main effects and two-factor interactions and derive the optimal designs for this situation in some special cases. © 2004 Elsevier B.V. All rights reserved.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0343632
dc.relation.ispartof	Journal of Statistical Planning and Inference	en_US
dc.relation.isbasedon	10.1016/j.jspi.2004.03.021	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	Optimal designs for choice experiments with asymmetric attributes	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	134	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	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	134	en_US

Abstract:

In this paper we establish the form of the optimal design for choice experiments in which attributes need not have the same number of levels for testing main effects only, when there are k attributes, and all choice sets are of size m. We give a construction for optimal and near-optimal designs with small numbers of choice sets. We derive the general form of the determinant of the information matrix for estimating main effects and two-factor interactions and derive the optimal designs for this situation in some special cases. © 2004 Elsevier B.V. All rights reserved.

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http://hdl.handle.net/10453/3447