Goodness-of-fit tests in long-range dependent processes under fixed alternatives

dc.contributor.authorDette, Holger
dc.contributor.authorSen, Kemal
dc.date.accessioned2010-12-08T12:35:20Z
dc.date.available2010-12-08T12:35:20Z
dc.date.issued2010-12-08
dc.description.abstractIn a recent paper Fay and Philippe (2002) proposed a goodness-of-fit test for long-range dependent processes which uses the logarithmic contrast as information measure. These authors established asymptotic normality under the null hypothesis and local alternatives. In the present note we extend these results and show that the corresponding test statistic is also normally distributed under fixed alternatives. AMS Subject Classi cation: 60F05, 62F03en
dc.identifier.urihttp://hdl.handle.net/2003/27523
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-7707
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823 ; 48/2010en
dc.subjectAsymptotic poweren
dc.subjectGoodness-of- fit testen
dc.subjectLong-range dependenceen
dc.subjectPeriodogramen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleGoodness-of-fit tests in long-range dependent processes under fixed alternativesen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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