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- Publisher Website: 10.1002/wics.1483
- Scopus: eid_2-s2.0-85070486979
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Article: Analysis of ranking data
Title | Analysis of ranking data |
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Authors | |
Keywords | Data visualization probability models ranking data statistical inference |
Issue Date | 2019 |
Publisher | John 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? |
Abstract | Ranking 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 Identifier | http://hdl.handle.net/10722/275757 |
ISSN | 2023 Impact Factor: 4.4 2023 SCImago Journal Rankings: 1.043 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yu, PLH | - |
dc.contributor.author | Gu, J | - |
dc.contributor.author | Xu, H | - |
dc.date.accessioned | 2019-09-10T02:49:05Z | - |
dc.date.available | 2019-09-10T02:49:05Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Wiley Interdisciplinary Reviews: Computational Statistics, 2019, v. 11 n. 6, p. article no. e1483 | - |
dc.identifier.issn | 1939-0068 | - |
dc.identifier.uri | http://hdl.handle.net/10722/275757 | - |
dc.description.abstract | Ranking 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.language | eng | - |
dc.publisher | John Wiley & Sons, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-0068 | - |
dc.relation.ispartof | Wiley Interdisciplinary Reviews: Computational Statistics | - |
dc.rights | Preprint 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.subject | Data visualization | - |
dc.subject | probability models | - |
dc.subject | ranking data | - |
dc.subject | statistical inference | - |
dc.title | Analysis of ranking data | - |
dc.type | Article | - |
dc.identifier.email | Yu, PLH: plhyu@hku.hk | - |
dc.identifier.authority | Yu, PLH=rp00835 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/wics.1483 | - |
dc.identifier.scopus | eid_2-s2.0-85070486979 | - |
dc.identifier.hkuros | 303901 | - |
dc.identifier.volume | 11 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | article no. e1483 | - |
dc.identifier.epage | article no. e1483 | - |
dc.identifier.isi | WOS:000489576600004 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1939-0068 | - |