dc.creatorCuesta-Albertos, JA
dc.creatorFraiman, R
dc.creatorGalves, A
dc.creatorGarcia, J
dc.creatorSvarc, M
dc.date2007
dc.date2014-11-15T15:54:48Z
dc.date2015-11-26T16:11:57Z
dc.date2014-11-15T15:54:48Z
dc.date2015-11-26T16:11:57Z
dc.date.accessioned2018-03-28T23:00:27Z
dc.date.available2018-03-28T23:00:27Z
dc.identifierJournal Of Applied Statistics. Routledge Journals, Taylor & Francis Ltd, v. 34, n. 6, n. 749, n. 761, 2007.
dc.identifier0266-4763
dc.identifierWOS:000248859600008
dc.identifier10.1080/02664760701237077
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/55983
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/55983
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/55983
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1267216
dc.descriptionThis paper addresses a linguistically motivated question of classification of functional data, namely the statistical classification of languages according to their rhythmic features. This is an important open problem in phonology. The analysis is based on the information provided by the sonority, which is an index of local regularity of the speech signal. Our main tool is the projected Kolmogorov-Smirnov test. This is a new goodness of fit test for functional data. The result obtained supports the linguistic conjecture of the existence of three rhythmic classes.
dc.description34
dc.description6
dc.description749
dc.description761
dc.languageen
dc.publisherRoutledge Journals, Taylor & Francis Ltd
dc.publisherAbingdon
dc.publisherInglaterra
dc.relationJournal Of Applied Statistics
dc.relationJ. Appl. Stat.
dc.rightsfechado
dc.rightshttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dc.sourceWeb of Science
dc.subjectclassification of languages
dc.subjectrhythmic classes
dc.subjectfunctional data
dc.subjectprojected Kolmogorov-Smirnov test
dc.titleClassifying speech sonority functional data using a projected Kolmogorov-Smirnov approach
dc.typeArtículos de revistas


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