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Postgraduate Thesis: Wandering ideal point models for single or multi-attribute ranking data: a Bayesian approach
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TitleWandering ideal point models for single or multi-attribute ranking data: a Bayesian approach
 
AuthorsLeung, Hiu-lan.
梁曉蘭.
 
Issue Date2003
 
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
 
AdvisorsYu, PLH
 
DegreeMaster of Philosophy
 
SubjectRanking and selection (Statistics)
Bayesian statistical decision theory.
Markov processes.
Monte carlo method.
 
Dept/ProgramStatistics and Actuarial Science
 
DC FieldValue
dc.contributor.advisorYu, PLH
 
dc.contributor.authorLeung, Hiu-lan.
 
dc.contributor.author梁曉蘭.
 
dc.date.hkucongregation2004
 
dc.date.issued2003
 
dc.description.naturepublished_or_final_version
 
dc.description.natureabstract
 
dc.description.naturetoc
 
dc.description.thesisdisciplineStatistics and Actuarial Science
 
dc.description.thesislevelmaster's
 
dc.description.thesisnameMaster of Philosophy
 
dc.identifier.hkulb2955235
 
dc.languageeng
 
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)
 
dc.relation.ispartofHKU Theses Online (HKUTO)
 
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.
 
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
 
dc.source.urihttp://hub.hku.hk/bib/B29552357
 
dc.subject.lcshRanking and selection (Statistics)
 
dc.subject.lcshBayesian statistical decision theory.
 
dc.subject.lcshMarkov processes.
 
dc.subject.lcshMonte carlo method.
 
dc.titleWandering ideal point models for single or multi-attribute ranking data: a Bayesian approach
 
dc.typePG_Thesis
 
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