Utilizza questo identificativo per citare o creare un link a questo documento: http://elea.unisa.it/xmlui/handle/10556/3851
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dcterms.contributor.authorGiordano, Francesco-
dc.date.accessioned2019-11-08T14:12:04Z-
dc.date.available2019-11-08T14:12:04Z-
dcterms.date.issued2005-
dcterms.identifier.citationGiordano, F. (2005). “Weak consistent moving block bootstrap estimator of sampling distribution of CLS estimators in a class of bilinear models”. DISES Working Paper 3.168, Università degli Studi di Salerno, Dipartimento di Scienze Economiche e Statistiche.it_IT
dcterms.identifier.issn1971-3029it_IT
dcterms.identifier.urihttp://elea.unisa.it:8080/xmlui/handle/10556/3851-
dcterms.identifier.urihttp://dx.doi.org/10.14273/unisa-2073-
dc.description.abstractGrahn, (1995) introduced the Conditional Least Squares estimators for the class (I) of bilinear models. Such estimators have a variance which is difficulty to derive analytically. The aim of the present paper is to consider the conditions under which to apply the Moving Block Bootstrap to estimate the variance and we show the weak consistency of the above bootstrap method relatively to the sampling distribution of CLS estimators. An important consequence is to select the length of the Blocks by a theoretical Influence function.it_IT
dcterms.format.extent30 p.it_IT
dc.language.isoenit_IT
dc.relation.ispartofWorking Papers ; 3.168it_IT
dcterms.sourceUniSa. Sistema Bibliotecario di Ateneoit_IT
dcterms.subjectBilinear modelit_IT
dcterms.subjectMoving Block Bootstrapit_IT
dcterms.subjectCLS estimatorit_IT
dcterms.titleWeak consistent moving block bootstrap estimator of sampling distribution of CLS estimators in a class of bilinear modelsit_IT
dcterms.typeWorking Paperit_IT
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