A new clustering methodology for the analysis of sorted or categorized stimuli
dc.contributor.author | DeSarbo, Wayne S. | en_US |
dc.contributor.author | Jedidi, Kamel | en_US |
dc.contributor.author | Johnson, Michael David | en_US |
dc.date.accessioned | 2006-09-11T18:34:15Z | |
dc.date.available | 2006-09-11T18:34:15Z | |
dc.date.issued | 1991-08 | en_US |
dc.identifier.citation | Desarbo, Wayne S.; Jedidi, Kamel; Johnson, Michael D.; (1991). "A new clustering methodology for the analysis of sorted or categorized stimuli." Marketing Letters 2(3): 267-279. <http://hdl.handle.net/2027.42/47082> | en_US |
dc.identifier.issn | 0923-0645 | en_US |
dc.identifier.issn | 1573-059X | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/47082 | |
dc.description.abstract | This paper introduces a new stochastic clustering methodology devised for the analysis of categorized or sorted data. The methodology reveals consumers' common category knowledge as well as individual differences in using this knowledge for classifying brands in a designated product class. A small study involving the categorization of 28 brands of U.S. automobiles is presented where the results of the proposed methodology are compared with those obtained from KMEANS clustering. Finally, directions for future research are discussed. | en_US |
dc.format.extent | 854216 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.subject.other | Marketing | en_US |
dc.subject.other | Cluster Analysis | en_US |
dc.subject.other | Categorization | en_US |
dc.subject.other | Sorting Tasks | en_US |
dc.subject.other | Maximum Likelihood Estimation | en_US |
dc.title | A new clustering methodology for the analysis of sorted or categorized stimuli | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Southeast Asian and Pacific Languages and Cultures | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | West European Studies | en_US |
dc.subject.hlbsecondlevel | Marketing | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | School of Business Administration, The University of Michigan, 48109-1234, Ann Arbor, MI, USA | en_US |
dc.contributor.affiliationum | University of Michigan, Ann Arbor, USA | en_US |
dc.contributor.affiliationother | Columbia University, Manhatta, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/47082/1/11002_2004_Article_BF00554131.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF00554131 | en_US |
dc.identifier.source | Marketing Letters | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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