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dc.contributor.authorPolitis, Dimitris Nicolasen
dc.contributor.authorRomano, J. P.en
dc.creatorPolitis, Dimitris Nicolasen
dc.creatorRomano, J. P.en
dc.date.accessioned2019-12-02T10:37:54Z
dc.date.available2019-12-02T10:37:54Z
dc.date.issued2010
dc.identifier.issn0047-259X
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57529
dc.description.abstractThe problem of subsampling in two-sample and K-sample settings is addressed where both the data and the statistics of interest take values in general spaces. We focus on the case where each sample is a stationary time series, and construct subsampling confidence intervals and hypothesis tests with asymptotic validity. Some examples are also given, and the problem of optimal block size choice is discussed. © 2008 Elsevier Inc. All rights reserved.en
dc.sourceJournal of Multivariate Analysisen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70449530853&doi=10.1016%2fj.jmva.2008.11.005&partnerID=40&md5=d9485203a9c2f0135f786ba0c02a9540
dc.subjectTime seriesen
dc.subjectBanach spaceen
dc.subjectConfidence regionsen
dc.subjectBlock bootstrapen
dc.subjectHypothesis testingen
dc.subject62G10en
dc.subject62G09en
dc.subjectLarge-sample theoryen
dc.subjectTwo-sample problemsen
dc.titleK-sample subsampling in general spaces: The case of independent time seriesen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.jmva.2008.11.005
dc.description.volume101
dc.description.issue2
dc.description.startingpage316
dc.description.endingpage326
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>Cited By :5</p>en
dc.source.abbreviationJ.Multivariate Anal.en


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