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dc.contributor.authorCapdevila i Marqués, Carles
dc.contributor.authorArcas i Pons, Antoni
dc.date.accessioned2007-12-07T10:19:39Z
dc.date.available2007-12-07T10:19:39Z
dc.date.issued1995
dc.identifier.citationCapdevila i Marqués, Carles; Arcas i Pons, Antoni. "Empirical significance test of the goodness-of-fit for some pyramidal clustering procedures" Qüestiió. 1995, vol. 19, núm. 1-3
dc.identifier.issn0210-8054 (versió paper)
dc.identifier.urihttp://hdl.handle.net/2099/4055
dc.description.abstractThrough a series of simulation tests by Monte Carlo methods, some aspects relating to the inference concerning pyramidal trees built by the maximum and minimum methods are considered. In this sense, the quantiles of the γ-Goodman-Kruskal statistic allow us to tabulate a significance test of the goodness-of-fit of a pyramidal clustering procedure. On the other side, the pyramidal method of maximum is observed to be clearly better (more efficient) than that of the minimum in terms of the expected value for the gamma statistic. Both for the maximum and minimum methods, a relation between the number of objets to classify and the gamma distribution id observed.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject.lcshMultivariate analysis
dc.subject.otherGoodnes-of-fit
dc.subject.otherPyramidal clustering
dc.subject.otherSample distribuition of the γ-statistic
dc.titleEmpirical significance test of the goodness-of-fit for some pyramidal clustering procedures
dc.typeArticle
dc.subject.lemacAnàlisi multivariable
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.rights.accessOpen Access
local.ordre8
local.personalitzacitaciotrue


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