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dc.contributor.authorPolitis, Dimitris Nicolasen
dc.creatorPolitis, Dimitris Nicolasen
dc.date.accessioned2019-12-02T10:37:53Z
dc.date.available2019-12-02T10:37:53Z
dc.date.issued1992
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57526
dc.description.abstractA characterization of the stochastic process that has maximum entropy among all moving average processes of order q, subject to the condition that the autocovariances γ(k) satisfy γ(k)= ck, for k = 0, 1, …, p, is provided by exploiting properties of the inverse autocovariance sequence. © 1992 IEEEen
dc.sourceIEEE Transactions on Information Theoryen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0026868481&doi=10.1109%2f18.135663&partnerID=40&md5=9d46319c8651686c5868d876a7de67d2
dc.subjectProbabilityen
dc.subjectAutocovariancesen
dc.subjectAutocovarianceen
dc.subjectinverse autocovarianceen
dc.subjectmaximum entropyen
dc.subjectmoving average processesen
dc.titleMoving Average Processes and Maximum Entropyen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1109/18.135663
dc.description.volume38
dc.description.issue3
dc.description.startingpage1174
dc.description.endingpage1177
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 :9</p>en
dc.source.abbreviationIEEE Trans.Inf.Theoryen


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