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dc.contributor.authorGiordano, Francesco
dc.date.accessioned2019-11-08T14:12:04Z
dc.date.available2019-11-08T14:12:04Z
dc.date.issued2005
dc.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
dc.identifier.issn1971-3029it_IT
dc.identifier.urihttp://elea.unisa.it:8080/xmlui/handle/10556/3851
dc.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
dc.format.extent30 p.it_IT
dc.language.isoenit_IT
dc.relation.ispartofWorking Papers ; 3.168it_IT
dc.sourceUniSa. Sistema Bibliotecario di Ateneoit_IT
dc.subjectBilinear modelit_IT
dc.subjectMoving Block Bootstrapit_IT
dc.subjectCLS estimatorit_IT
dc.titleWeak consistent moving block bootstrap estimator of sampling distribution of CLS estimators in a class of bilinear modelsit_IT
dc.typeWorking Paperit_IT
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