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dc.contributor.author이외숙*
dc.date.accessioned2018-05-18T08:15:17Z-
dc.date.available2018-05-18T08:15:17Z-
dc.date.issued2005*
dc.identifier.issn0361-0926*
dc.identifier.otherOAK-2588*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/243207-
dc.description.abstractWe consider a nonlinear autoregressive moving average (ARMA) process with Markov switching and find sufficient conditions for strict stationarity, geometric ergodicity, and the existence of moments of the process with respect to the stationary distribution. Functional central limit theorem is also obtained.*
dc.languageEnglish*
dc.titleProbabilistic properties of a nonlinear ARMA process with markov switching*
dc.typeArticle*
dc.relation.issue1*
dc.relation.volume34*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage193*
dc.relation.lastpage204*
dc.relation.journaltitleCommunications in Statistics - Theory and Methods*
dc.identifier.doi10.1081/STA-200045822*
dc.identifier.wosidWOS:000226954000014*
dc.identifier.scopusid2-s2.0-14544275589*
dc.author.googleLee O.*
dc.contributor.scopusid이외숙(8425708300)*
dc.date.modifydate20241128115404*
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자연과학대학 > 통계학전공 > Journal papers
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