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dc.contributor.authorDudek, Anna E.en
dc.contributor.authorLeśkow, Jaceken
dc.contributor.authorPaparoditis Efstathios, E.en
dc.contributor.authorPolitis, Dimitris Nicolasen
dc.creatorDudek, Anna E.en
dc.creatorLeśkow, Jaceken
dc.creatorPaparoditis Efstathios, E.en
dc.creatorPolitis, Dimitris Nicolasen
dc.date.accessioned2019-12-02T10:34:56Z
dc.date.available2019-12-02T10:34:56Z
dc.date.issued2013
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56768
dc.source.urihttps://nls.ldls.org.uk/welcome.html?ark:/81055/vdc_100024770828.0x000023
dc.subjectTime-series analysisen
dc.titleA GENERALIZED BLOCK BOOTSTRAP FOR SEASONAL TIME SERIESen
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: 895en
dc.description.notesIn: Journal of time series analysis, Vol. 35, no. 2 (Mar. 2014), p.89-114.en
dc.description.notesSummary: Abstract When time‐series data contain a periodic/seasonal component, the usual block bootstrap procedures are not directly applicable. We propose a modification of the block bootstrap – the generalized seasonal block bootstrap (GSBB) – and show its asymptotic consistency without undue restrictions on the relative size of the period and block size. Notably, it is exactly such restrictions that limit the applicability of other proposals of block bootstrap methods for time series with periodicities. The finite‐sample performance of the GSBB is also illustrated by means of a small simulation experiment.</p>en
dc.contributor.orcidPaparoditis Efstathios, E. [0000-0003-1958-781X]
dc.gnosis.orcid0000-0003-1958-781X


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