Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10998-005-0017-5
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dc.titleAlmost sure convergence of the Bartlett estimator
dc.contributor.authorBerkes, I.
dc.contributor.authorHorváth, L.
dc.contributor.authorKokoszka, P.
dc.contributor.authorShao, Q.-M.
dc.date.accessioned2014-10-28T02:29:57Z
dc.date.available2014-10-28T02:29:57Z
dc.date.issued2005-11
dc.identifier.citationBerkes, I.,Horváth, L.,Kokoszka, P.,Shao, Q.-M. (2005-11). Almost sure convergence of the Bartlett estimator. Periodica Mathematica Hungarica 51 (1) : 11-25. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/s10998-005-0017-5" target="_blank">https://doi.org/10.1007/s10998-005-0017-5</a>
dc.identifier.issn00315303
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/102808
dc.description.abstractWe study the almost sure convergence of the Bartlett estimator for the asymptotic variance of the sample mean of a stationary weekly dependent process. We also study the a.\ s.\ behavior of this estimator in the case of long-range dependent observations. In the weakly dependent case, we establish conditions under which the estimator is strongly consistent. We also show that, after appropriate normalization, the estimator converges a.s. in the long-range dependent case as well. In both cases, our conditions involve fourth order cumulants and assumptions on the rate of growth of the truncation parameter appearing in the definition of the Bartlett estimator. © Akadémiai Kiadó.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s10998-005-0017-5
dc.sourceScopus
dc.subjectCumulants
dc.subjectIncrements of partial sums
dc.subjectLong-range dependence
dc.subjectVariance of the mean
dc.subjectWeak dependence
dc.typeArticle
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1007/s10998-005-0017-5
dc.description.sourcetitlePeriodica Mathematica Hungarica
dc.description.volume51
dc.description.issue1
dc.description.page11-25
dc.identifier.isiutNOT_IN_WOS
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