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dc.contributor.authorPaparoditis Efstathios, E.en
dc.contributor.authorStreitberg, B.en
dc.creatorPaparoditis Efstathios, E.en
dc.creatorStreitberg, B.en
dc.date.accessioned2019-12-02T10:37:40Z
dc.date.available2019-12-02T10:37:40Z
dc.date.issued1992
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57467
dc.description.abstractAbstract. In this paper we consider the vector autocorrelation approach for identifying ARMA (p, q) models and use a bootstrap procedure in order to evaluate the distribution of the corresponding sample statistics by means of a resampling scheme for the residuals when p and q are unknown. The asymptotic validity of the bootstrap procedure applied to the vector autocorrelation estimates is established. Some simulations and examples demonstrating the appropriateness of the proposed bootstrap procedure in comparison with large‐sample Gaussian approximations are included. Copyright © 1992, Wiley Blackwell. All rights reserveden
dc.sourceJournal of Time Series Analysisen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84981389639&doi=10.1111%2fj.1467-9892.1992.tb00117.x&partnerID=40&md5=28167c3c02d54ed08174669e67a17b04
dc.subjectidentificationen
dc.subjectbootstrapen
dc.subjectcanonical correlationsen
dc.subjectvector autocorrelationsen
dc.subjectARMA modelsen
dc.titleORDER IDENTIFICATION STATISTICS IN STATIONARY AUTOREGRESSIVE MOVING‐AVERAGE MODELS:VECTOR AUTOCORRELATIONS AND THE BOOTSTRAPen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1111/j.1467-9892.1992.tb00117.x
dc.description.volume13
dc.description.issue5
dc.description.startingpage415
dc.description.endingpage434
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 :17</p>en
dc.source.abbreviationJ.Time Ser.Anal.en
dc.contributor.orcidPaparoditis Efstathios, E. [0000-0003-1958-781X]
dc.gnosis.orcid0000-0003-1958-781X


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