시계열 및 예측모델 선택과정에서 스펙트럼의 이용The use of spectral analysis in choosing time series and forecasting models

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dc.contributor.author전덕빈ko
dc.date.accessioned2013-02-24T13:57:43Z-
dc.date.available2013-02-24T13:57:43Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1988-06-
dc.identifier.citation대한산업공학회지, v.14, no.1, pp.51 - 56-
dc.identifier.issn1225-0988-
dc.identifier.urihttp://hdl.handle.net/10203/57637-
dc.description.abstractA spectrum analysis method is presented with an example as an aid to Box and Jerkins model identification procedure, where the theoretical spectrum of ARMA model and its confidence intervals derived by chi-square distribution are compared. An APL (A Programming Language) program for the method is developed for the 16-bit personal computer.-
dc.languageKorean-
dc.publisher대한산업공학회-
dc.title시계열 및 예측모델 선택과정에서 스펙트럼의 이용-
dc.title.alternativeThe use of spectral analysis in choosing time series and forecasting models-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume14-
dc.citation.issue1-
dc.citation.beginningpage51-
dc.citation.endingpage56-
dc.citation.publicationname대한산업공학회지-
dc.contributor.localauthor전덕빈-
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MT-Journal Papers(저널논문)
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