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dc.contributor.authorDehay, Dominiqueen
dc.contributor.authorDudek, Anna E.en
dc.contributor.authorCavaliere, Giuseppeen
dc.contributor.authorPolitis, Dimitris Nicolasen
dc.contributor.authorRahbek, Andersen
dc.creatorDehay, Dominiqueen
dc.creatorDudek, Anna E.en
dc.creatorCavaliere, Giuseppeen
dc.creatorPolitis, Dimitris Nicolasen
dc.creatorRahbek, Andersen
dc.date.accessioned2019-12-02T10:34:50Z
dc.date.available2019-12-02T10:34:50Z
dc.date.issued2015
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56743
dc.source.urihttps://nls.ldls.org.uk/welcome.html?lsidyv921893ea
dc.titleBlock Bootstrap for Poisson‐Sampled Almost Periodic Processesen
dc.typeinfo:eu-repo/semantics/article
dc.description.startingpage1
dc.description.endingpageonline
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>ID: 998en
dc.description.notesIn: JOURNAL OF TIME SERIES ANALYSIS volume 36 issue 3 page 327.en
dc.description.notesSummary: Abstract Let {X(t),t∈R} be an almost periodically correlated process and {N(t),t≥0} be a homogeneous Poisson process and {Tk,k≥1} be its jump moments. We assume that {X(t),t∈R} and {N(t),t≥0} are independent. Moreover, the process {X(t),t∈R} is not observed continuously but only in the time moments {Tk,k≥1}en
dc.description.notesIn this paper, we focus on the estimation of the cyclic means of {X(t),t∈R}. The asymptotic normality of the rescaled error of the estimator is shown. Additionally, the bootstrap method based on the circular block bootstrap is proposed. The consistency of the bootstrap technique is proved, and the bootstrap pointwise and simultaneous confidence intervals for the cyclic means are constructed. The results are illustrated by a simulated data example..</p>en
dc.contributor.orcidCavaliere, Giuseppe [0000-0002-2856-0005]
dc.gnosis.orcid0000-0002-2856-0005


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