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dc.contributor.authorSibbertsen, Philippde
dc.date.accessioned2004-12-06T18:50:42Z-
dc.date.available2004-12-06T18:50:42Z-
dc.date.issued2001de
dc.identifier.urihttp://hdl.handle.net/2003/5263-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15217-
dc.description.abstractWe show that small trends do not influence log-periodogram based estimators for the memory parameter in a stationary invertible long-memory process. In the case of slowly decaying trends which are easily confused with long-range dependence we show by Monte Carlo methods that the tapered periodogram is quite robust against these trends and thus provides a good alternative to standard log-periodogram methodology.en
dc.format.extent214245 bytes-
dc.format.extent76986 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectlong-memoryen
dc.subjecttrendsen
dc.subjectlog-periodogram regressionen
dc.subject.ddc310de
dc.titleLog-Periodogram estimation of the memory parameter of a long-memory process under trenden
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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