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dc.contributor.advisorChitturi, Pallavi
dc.contributor.advisorRaghavarao, Damaraju
dc.creatorChen, Jing
dc.date.accessioned2020-10-21T14:27:02Z
dc.date.available2020-10-21T14:27:02Z
dc.date.issued2010
dc.identifier.other864885074
dc.identifier.urihttp://hdl.handle.net/20.500.12613/952
dc.description.abstractChoice-based conjoint experiments are used when choice alternatives can be described in terms of attributes. The objective is to infer the value that respondents attach to attribute levels. This method involves the design of profiles on the basis of attributes specified at certain levels. Respondents are presented sets of profiles and asked to select the one they consider best. Choice sets with no dominating or dominated profiles are called Pareto optimal, and these Pareto optimal choice sets are provided to respondents. However, if choice sets have too many profiles, they may be difficult to implement. Therefore, we provide strategies for reducing the number of profiles in choice sets. We consider situations where only a subset of interactions is of interest, and obtain connected main effects plans with smaller choice sets for 2^n and 3^n designs that are capable of estimating subsets of interactions inclusive of one specific factor. We also provide plans for estimating all main effects and one two-way interaction for mixed level designs. Next, we examine the relationship between certain Pareto Optimal choice sets and g-designs. Finally, we obtain connected main effects plans with smaller choice sets for estimating different subsets of interactions, not inclusive of one specific factor.
dc.format.extent72 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectStatistics
dc.subjectChoice Experiments
dc.subjectFactorial Experiments
dc.subjectPareto Optimal Subsets
dc.titleChoice Experiments for Estimating Main Effects and Interactions
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberParnes, Milton
dc.contributor.committeememberIglewicz, Boris
dc.contributor.committeememberMudambi, Susan
dc.description.departmentStatistics
dc.relation.doihttp://dx.doi.org/10.34944/dspace/934
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreePh.D.
refterms.dateFOA2020-10-21T14:27:02Z


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