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dc.contributor.authorDíaz-Emparanza Herrero, Ignacio ORCID
dc.date.accessioned2011-11-17T14:21:50Z
dc.date.available2011-11-17T14:21:50Z
dc.date.issued2002
dc.identifier.citationStatistical Papers 43(4) : 567-577 (2002)es
dc.identifier.issn0932-5026
dc.identifier.issn1613-9798
dc.identifier.urihttp://hdl.handle.net/10810/4963
dc.description.abstractIn this paper we study the relationship between the number of replications and the accuracy of the estimated quantiles of a distribution obtained by simulation. A method for testing hypotheses on the quantiles of a theoretical distribution using the simulated distribution is proposed, as well as a method to check the hypothesis of consistency of a test.es
dc.description.sponsorshipMinisterio de Educación,PB96-1469-C05-01, Universidad del País Vasco UPV-038.321-G55/98, y Gobierno Vasco, PI9970es
dc.language.isoenges
dc.publisherSpringeres
dc.relationinfo:eu-repo/grantAgreement/MEC/PB96-1469-C05-01
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectMonte Carloes
dc.subjectreplicationses
dc.subjectaccuracyes
dc.titleIs a Small Monte Carlo Analysis a Good Analysis? Checking the Size, Power and Consistency of a Simulation-Based Testes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder(c)2002, Springeres
dc.relation.publisherversionhttp://www.springerlink.com/content/781dptu82g76md7p/es
dc.identifier.doi10.1007/s00362-002-0124-9
dc.departamentoesEconomía aplicada III (Econometría y Estadística)es_ES
dc.departamentoeuEkonomia aplikatua III (ekonometria eta estatistika)es_ES
dc.subject.categoriaSTATISTICS AND PROBABILITY


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