Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52418
DC FieldValueLanguage
dc.contributor.authorLuengo, I.en_US
dc.contributor.authorHernández, C. N.en_US
dc.contributor.authorSaavedra-Santana, Pedroen_US
dc.date.accessioned2018-11-25T20:09:54Z-
dc.date.available2018-11-25T20:09:54Z-
dc.date.issued2006en_US
dc.identifier.issn0943-4062en_US
dc.identifier.urihttp://hdl.handle.net/10553/52418-
dc.description.abstractThe objective of this paper is to compare time series patterns generated over two populations. A random sample of objects is chosen from each population. On each object, a stationary process with an absolutely continuous spectral distribution is observed at the same times. We assume that the logarithm of the periodogram from each time series follows a model which involves the pattern of each population. A statistical test is proposed which will compare these patterns. The probability distribution of the test under the null hypothesis is approximated by the bootstrap. The consistency of the method is analyzed using the Mallows metric. A simulation study is also carried out.en_US
dc.languageengen_US
dc.relation.ispartofComputational Statisticsen_US
dc.sourceComputational Statistics [ISSN 0943-4062], v. 21 (1), p. 91-101en_US
dc.subject240401 Bioestadísticaen_US
dc.subject.otherBootstrapen_US
dc.subject.otherMallows metricen_US
dc.subject.otherPeriodogramen_US
dc.subject.otherReplicated Time Seriesen_US
dc.subject.otherSpectral Estimateen_US
dc.titleTest to compare two population logspectraen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1007/s00180-006-0253-z
dc.identifier.scopus33750148646-
dc.identifier.isi000237272200007-
dc.contributor.authorscopusid15027282800-
dc.contributor.authorscopusid8971071000-
dc.contributor.authorscopusid56677724200-
dc.identifier.eissn1613-9658-
dc.description.lastpage101-
dc.identifier.issue1-
dc.description.firstpage91-
dc.relation.volume21-
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.contributor.daisngid34809363
dc.contributor.daisngid5322222
dc.contributor.daisngid8838450
dc.contributor.wosstandardWOS:Luengo, I
dc.contributor.wosstandardWOS:Hernandez, CN
dc.contributor.wosstandardWOS:Saavedra, P
dc.date.coverdateMarzo 2006
dc.identifier.ulpgces
dc.description.jcr0,208
dc.description.jcrqQ4
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Estadística-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptGIR Estadística-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0003-1681-7165-
crisitem.author.parentorgDepartamento de Matemáticas-
crisitem.author.parentorgDepartamento de Matemáticas-
crisitem.author.fullNameHernández Flores, Carmen Nieves-
crisitem.author.fullNameSaavedra Santana, Pedro-
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