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Volumn 23, Issue 2, 2004, Pages 77-88

Do Seasonal Unit Roots Matter for Forecasting Monthly Industrial Production?

Author keywords

Forecasting; Information criteria; Seasonal unit roots; Structural time series model

Indexed keywords

COMPUTER SIMULATION; INDUSTRIAL ECONOMICS; INFORMATION ANALYSIS; MATHEMATICAL MODELS; POLYNOMIALS; TECHNOLOGICAL FORECASTING; TIME SERIES ANALYSIS;

EID: 1842508087     PISSN: 02776693     EISSN: None     Source Type: Journal    
DOI: 10.1002/for.901     Document Type: Article
Times cited : (4)

References (15)
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  • 3
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    • Franses, P.H.1
  • 4
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    • Ghysels, E.1    Lee, H.S.2    Noh, J.3
  • 8
    • 0037401793 scopus 로고    scopus 로고
    • Detecting seasonal unit roots in a structural time series model
    • Kawasaki Y, Franses PH. 2003. Detecting seasonal unit roots in a structural time series model. Journal of Applied Statistics 30: 373-387.
    • (2003) Journal of Applied Statistics , vol.30 , pp. 373-387
    • Kawasaki, Y.1    Franses, P.H.2
  • 9
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    • A nonstationary time series model and its fitting by a recursive filter
    • Kitagawa G. 1981. A nonstationary time series model and its fitting by a recursive filter. Journal of Time Series Analysis 2: 103-116.
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    • Kitagawa, G.1
  • 10
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    • Kitagawa, G.1    Gersch, W.2
  • 11
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    • Maravall, A.1
  • 13
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    • Comparing seasonal components for structural time series models
    • Proietti T. 2000. Comparing seasonal components for structural time series models. International Journal of Forecasting 16: 247-260.
    • (2000) International Journal of Forecasting , vol.16 , pp. 247-260
    • Proietti, T.1
  • 14
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    • Estimating the dimension of a model
    • Schwarz G. 1978. Estimating the dimension of a model. Annals of Statistics 6: 461-464.
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    • Schwarz, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.