File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Bayesian analysis of order-statistics models for ranking data

TitleBayesian analysis of order-statistics models for ranking data
Authors
Yu, PLH
KeywordsData augmentation
Gibbs sampling
Order-statistics model
Ranking data
Issue Date2000
PublisherSpringer New York LLC. The Journal's web site is located at http://www.psychometrika.org
Citation
Psychometrika, 2000, v. 65 n. 3, p. 281-299 How to Cite?
DOI: http://dx.doi.org/10.1007/BF02296147
AbstractIn this paper, a class of probability models for ranking data, the order-statistics models, is investigated. We extend the usual normal order-statistics model into one where the underlying random variables follow a multivariate normal distribution. Bayesian approach and the Gibbs sampling technique are used for parameter estimation. In addition, methods to assess the adequacy of model fit are introduced. Robustness of the model is studied by considering a multivariate-t distribution. The proposed method is applied to analyze the presidential election data of the American Psychological Association (APA).
Persistent Identifierhttp://hdl.handle.net/10722/82726
ISSN
0033-3123
2022 Impact Factor: 3.0
2020 SCImago Journal Rankings: 3.375
ISI Accession Number ID
WOS:000089697600002
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorYu, PLHen_HK
dc.date.accessioned2010-09-06T08:32:42Z-
dc.date.available2010-09-06T08:32:42Z-
dc.date.issued2000en_HK
dc.identifier.citationPsychometrika, 2000, v. 65 n. 3, p. 281-299en_HK
dc.identifier.issn0033-3123en_HK
dc.identifier.urihttp://hdl.handle.net/10722/82726-
dc.description.abstractIn this paper, a class of probability models for ranking data, the order-statistics models, is investigated. We extend the usual normal order-statistics model into one where the underlying random variables follow a multivariate normal distribution. Bayesian approach and the Gibbs sampling technique are used for parameter estimation. In addition, methods to assess the adequacy of model fit are introduced. Robustness of the model is studied by considering a multivariate-t distribution. The proposed method is applied to analyze the presidential election data of the American Psychological Association (APA).en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://www.psychometrika.orgen_HK
dc.relation.ispartofPsychometrikaen_HK
dc.subjectData augmentationen_HK
dc.subjectGibbs samplingen_HK
dc.subjectOrder-statistics modelen_HK
dc.subjectRanking dataen_HK
dc.titleBayesian analysis of order-statistics models for ranking dataen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0033-3123&volume=65&spage=281&epage=299&date=2000&atitle=Bayesian+analysis+of+order-statistics+models+for+ranking+dataen_HK
dc.identifier.emailYu, PLH: plhyu@hkucc.hku.hken_HK
dc.identifier.authorityYu, PLH=rp00835en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/BF02296147-
dc.identifier.scopuseid_2-s2.0-0034259525en_HK
dc.identifier.hkuros57084en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034259525&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume65en_HK
dc.identifier.issue3en_HK
dc.identifier.spage281en_HK
dc.identifier.epage299en_HK
dc.identifier.isiWOS:000089697600002-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridYu, PLH=7403599794en_HK
dc.identifier.issnl0033-3123-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats