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dc.contributor.advisor李外淑-
dc.contributor.author姜志旼-
dc.creator姜志旼-
dc.date.accessioned2016-08-25T11:08:11Z-
dc.date.available2016-08-25T11:08:11Z-
dc.date.issued2004-
dc.identifier.otherOAK-000000009563-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/171909-
dc.identifier.urihttp://dcollection.ewha.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000009563-
dc.description.abstractThere are sufficient conditions for the stationarity of various thresholdautoregressive(TAR) models and threshold autoregressive moving average(TARMA) models. In this paper, we first propose the smooth transition ARMA(p, q) model.We construct a proper test function and prove the stationarity of the smoothtrantion ARMA(p, q) model using the Foster-Lyapounov’s drift condition.Next we will derive the strict stationarity of the TARMA(p, q) model usingthe convergence in distribution from the smooth transition ARMA(p, q)model to the TARMA(p, q) model.;다양한 시계계열 모형들 중 threshold autoregressive(TAR) 모형과 thresholdautoregressive moving average(TARMA)모형에 대한 정상성에 대한 충분조건들이 있다. 이 논문에서 우선 smooth threshold autoregressive moving average(STARMA)(p, q)모형을 제안한다. 적절한 test 함수를 도입해서 Foster-Lyapounov의 drift 조건을 이용하여 STARMA(p, q) 모형의 정상성을 증명한다. 그다음에 TARMA(p, q) 모형이 STARMA(p, q) 모형으로 분포적으로 수렴함을 이용해서 TARMA(p, q) 모형의 강정상성을 이끌어낸다.-
dc.description.tableofcontentsContents Abstract = 4 1 Introduction = 5 2 Definitions and Preliminary results = 7 3 The STARMA(p,q) model = 12 4 Main Results and Proofs = 14 References = 21 한글초록 = 23 감사의 글 = 24-
dc.formatapplication/pdf-
dc.format.extent300395 bytes-
dc.languageeng-
dc.publisher이화여자대학교 일반대학원-
dc.titleStrict Stationarity of the TARMA(p, q) model without Feller continuity-
dc.typeMaster's Thesis-
dc.format.page24 p.-
dc.identifier.thesisdegreeMaster-
dc.identifier.major대학원 통계학과-
dc.date.awarded2005. 2-
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일반대학원 > 통계학과 > Theses_Master
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