postgraduate thesis: Wandering ideal point models for single or multi-attribute ranking data: a Bayesian approach

TitleWandering ideal point models for single or multi-attribute ranking data: a Bayesian approach
Authors
Advisors
Advisor(s):Yu, PLH
Issue Date2003
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
DegreeMaster of Philosophy
SubjectRanking and selection (Statistics)
Bayesian statistical decision theory.
Markov processes.
Monte carlo method.
Dept/ProgramStatistics and Actuarial Science

 

DC FieldValueLanguage
dc.contributor.advisorYu, PLH-
dc.contributor.authorLeung, Hiu-lan.-
dc.contributor.author梁曉蘭.-
dc.date.issued2003-
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-
dc.identifier.hkulb2955235-
dc.description.thesisnameMaster of Philosophy-
dc.description.thesislevelmaster's-
dc.description.thesisdisciplineStatistics and Actuarial Science-
dc.description.naturepublished_or_final_version-
dc.description.natureabstract-
dc.description.naturetoc-
dc.date.hkucongregation2004-

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