Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/4271
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dc.creatorBonanomi, Andrea-
dc.creatorNai Ruscone, Marta-
dc.creatorOsmetti, Silvia Angela-
dc.date.accessioned2016-10-25T07:00:51Z-
dc.date.available2016-10-25T07:00:51Z-
dc.date.issued2017-
dc.identifier.issn0033-5177-
dc.identifier.urihttp://arl.liuc.it/dspace/handle/2468/4271-
dc.description.abstractWe propose a new measure to evaluate the distance between subjects expressing their preferences by rankings in order to segment them by hierarchical cluster analysis. The proposed index builds upon the Spearman’s grade correlation coefficient on a transformation, operated by the copula function, of the position/rank denoting the level of the importance assigned by subjects under classification to k objects. In particular, by using the copula functions with tail dependence we obtain an index suitable for emphasizing the agreement on top ranks, when the top ranks are considered more important than the lower ones. We evaluate the performance of our proposal by an example on simulated data, showing that the resulting groups contain subjects whose preferences are more similar on the most important ranks. A further application with real data confirms the pertinence and the importance of our proposal.en
dc.formatA stampait
dc.formatOnlineen
dc.languageenit
dc.publisherSpringeren
dc.relation.ispartofQuality and quantityen
dc.rightshttp://www.biblio.liuc.it/pagineita.asp?codice=247-
dc.titleDefining subjects distance in hierarchical cluster analysis by copula approachen
dc.typeArticolo in rivista internazionale referenziatait
dc.subject.keywordsCopula functionen
dc.subject.keywordsHierarchical cluster analysisen
dc.subject.keywordsOrdinal dataen
dc.identifier.bibliographiccitationBonanomi Andrea, Nai Ruscone Marta, Osmetti Silvia Angela (2017), Defining subjects distance in hierarchical cluster analysis by copula approach. In: Quality & quantity, vol. 51, n. 2, 1 March 2017, p. 859-872. Published electronically 19 October 2016. ISSN 0033-5177. E-ISSN 1573-7845. DOI 10.1007/s11135-016-0444-9.en
dc.type.refereedanonymousen
dc.identifier.doi10.1007/s11135-016-0444-9-
dc.identifier.eissn1573-7845-
dc.relation.firstpage859-
dc.relation.lastpage872-
dc.relation.issue2, 1 March 2017-
dc.relation.volume51-
dc.type.publicationstatuspubblicatoit
dc.accessrightsclosedAccessen
dc.publisher.countryNLD-
dc.publisher.placeDordrecht-
dc.relation.indexedbyScopus - 2-s2.0-84991794900en
dc.relation.indexedbyISI - WOS:000395001500024-
dc.audienceAccademicoit
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