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Article: Ranking methods for compositional data

TitleRanking methods for compositional data
Authors
KeywordsCompositional data
Ranking
Zeros
Issue Date1992
PublisherWiley
Citation
Journal of the Royal Statistical Society. Series C (Applied Statistics), 1992, v. 41 n. 3, p. 533-537 How to Cite?
AbstractIn the analysis of compositional data, zero components or a non-normal distribution of the log-ratios severely limits the analysis that can be done. Ranking across both cases and components, before scaling, is suggested as a possible new approach. The idea is illustrated with a data set which compares the results with other methods including replacement of Os by small positive quantities and other ranking methods.
Persistent Identifierhttp://hdl.handle.net/10722/86409
ISSN
2015 Impact Factor: 1.354
2015 SCImago Journal Rankings: 1.092

 

DC FieldValueLanguage
dc.contributor.authorBacon-Shone, JHen_HK
dc.date.accessioned2010-09-06T09:16:30Z-
dc.date.available2010-09-06T09:16:30Z-
dc.date.issued1992en_HK
dc.identifier.citationJournal of the Royal Statistical Society. Series C (Applied Statistics), 1992, v. 41 n. 3, p. 533-537en_HK
dc.identifier.issn0035-9254-
dc.identifier.urihttp://hdl.handle.net/10722/86409-
dc.description.abstractIn the analysis of compositional data, zero components or a non-normal distribution of the log-ratios severely limits the analysis that can be done. Ranking across both cases and components, before scaling, is suggested as a possible new approach. The idea is illustrated with a data set which compares the results with other methods including replacement of Os by small positive quantities and other ranking methods.-
dc.languageengen_HK
dc.publisherWiley-
dc.relation.ispartofJournal of the Royal Statistical Society. Series C (Applied Statistics)en_HK
dc.subjectCompositional data-
dc.subjectRanking-
dc.subjectZeros-
dc.titleRanking methods for compositional dataen_HK
dc.typeArticleen_HK
dc.identifier.emailBacon-Shone, JH: johnbs@hku.hken_HK
dc.identifier.authorityBacon-Shone, JH=rp00056en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.2307/2348087-
dc.identifier.hkuros12406en_HK

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