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Article: Analysis of ranking data

TitleAnalysis of ranking data
Authors
KeywordsData visualization
probability models
ranking data
statistical inference
Issue Date2019
PublisherJohn Wiley & Sons, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-0068
Citation
Wiley Interdisciplinary Reviews: Computational Statistics, 2019, v. 11 n. 6, p. article no. e1483 How to Cite?
AbstractRanking is one of the simple and efficient data collection techniques to understand individuals' perception and preferences for some items such as products, people, and species. Ranking data are frequently collected when individuals are asked to rank a set of items according to a certain preference criterion. Over the years, many statistical models and methods have been developed for analyzing ranking data. This paper will give a literature review of these models and methods and present the recent advances of the analysis of ranking data. This article is categorized under:. Statistical and Graphical Methods of Data Analysis > Nonparametric Methods. © 2019 Wiley Periodicals, Inc.
Persistent Identifierhttp://hdl.handle.net/10722/275757
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYu, PLH-
dc.contributor.authorGu, J-
dc.contributor.authorXu, H-
dc.date.accessioned2019-09-10T02:49:05Z-
dc.date.available2019-09-10T02:49:05Z-
dc.date.issued2019-
dc.identifier.citationWiley Interdisciplinary Reviews: Computational Statistics, 2019, v. 11 n. 6, p. article no. e1483-
dc.identifier.issn1939-0068-
dc.identifier.urihttp://hdl.handle.net/10722/275757-
dc.description.abstractRanking is one of the simple and efficient data collection techniques to understand individuals' perception and preferences for some items such as products, people, and species. Ranking data are frequently collected when individuals are asked to rank a set of items according to a certain preference criterion. Over the years, many statistical models and methods have been developed for analyzing ranking data. This paper will give a literature review of these models and methods and present the recent advances of the analysis of ranking data. This article is categorized under:. Statistical and Graphical Methods of Data Analysis > Nonparametric Methods. © 2019 Wiley Periodicals, Inc.-
dc.languageeng-
dc.publisherJohn Wiley & Sons, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-0068-
dc.relation.ispartofWiley Interdisciplinary Reviews: Computational Statistics-
dc.rightsPreprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.subjectData visualization-
dc.subjectprobability models-
dc.subjectranking data-
dc.subjectstatistical inference-
dc.titleAnalysis of ranking data-
dc.typeArticle-
dc.identifier.emailYu, PLH: plhyu@hku.hk-
dc.identifier.authorityYu, PLH=rp00835-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/wics.1483-
dc.identifier.scopuseid_2-s2.0-85070486979-
dc.identifier.hkuros303901-
dc.identifier.volume11-
dc.identifier.issue6-
dc.identifier.spagearticle no. e1483-
dc.identifier.epagearticle no. e1483-
dc.identifier.isiWOS:000489576600004-
dc.publisher.placeUnited States-
dc.identifier.issnl1939-0068-

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