Empirical significance test of the goodness-of-fit for some pyramidal clustering procedures

dc.contributor.authorCapdevila Marqués, Carles
dc.contributor.authorArcas Pons, Antoni
dc.date.accessioned2021-07-07T11:31:32Z
dc.date.available2021-07-07T11:31:32Z
dc.date.issued1995
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.ca_ES
dc.identifier.idgrec010778
dc.identifier.issn2013-8849
dc.identifier.issn0210-8054
dc.identifier.urihttp://hdl.handle.net/10459.1/71563
dc.language.isoengca_ES
dc.publisherInstitut d'Estadística de Catalunyaca_ES
dc.relation.isformatofReproducció del document publicat a: https://raco.cat/index.php/Questiio/article/view/26717ca_ES
dc.relation.ispartofQüestiió: quaderns d’estadística i investigació operativa, 1995, vol. 19, núm. 1-3, p. 123-130ca_ES
dc.rightscc-by-nc-nd, (c) Institut d'Estadística de Catalunya, 1995ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGoodnes-of-fitca_ES
dc.subjectPyramidal clusteringca_ES
dc.subjectSample distribuition of the γ-statisticca_ES
dc.subjectSimulation testca_ES
dc.titleEmpirical significance test of the goodness-of-fit for some pyramidal clustering proceduresca_ES
dc.typeinfo:eu-repo/semantics/articleca_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_ES
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
010778.pdf
Size:
542.71 KB
Format:
Adobe Portable Document Format
Description:
Article
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: