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Volumn 32, Issue 5, 2013, Pages 395-408

Forecasting UK industrial production with multivariate singular spectrum analysis

Author keywords

Causality; Forecasting; Industrial production series; Singular spectrum analysis

Indexed keywords

INDUSTRIAL RESEARCH; SPECTRUM ANALYSIS;

EID: 84893555436     PISSN: 02776693     EISSN: 1099131X     Source Type: Journal    
DOI: 10.1002/for.2244     Document Type: Article
Times cited : (80)

References (26)
  • 1
    • 0030357256 scopus 로고    scopus 로고
    • Monte Carlo SSA: Detecting irregular oscillations in the presence of colored noise
    • Allen M R, Smith L A. 1996. Monte Carlo SSA: detecting irregular oscillations in the presence of colored noise. Journal of Climate 9: 3373-3404.
    • (1996) Journal of Climate , vol.9 , pp. 3373-3404
    • Allen, M.R.1    Smith, L.A.2
  • 2
    • 34249988665 scopus 로고
    • Extracting qualitative dynamics from experimental data
    • Broomhead D S, King G P. 1986a. Extracting qualitative dynamics from experimental data. Physica D 20: 217-236.
    • (1986) Physica D , vol.20 , pp. 217-236
    • Broomhead, D.S.1    King, G.P.2
  • 3
    • 0001393644 scopus 로고
    • On the qualitative analysis of experimental dynamical systems
    • Sarkar S (ed). Adam Hilger: Bristol
    • Broomhead D S, King G P. 1986b. On the qualitative analysis of experimental dynamical systems. In Nonlinear Phenomena and Chaos, Sarkar S (ed). Adam Hilger: Bristol; 113-144.
    • (1986) Nonlinear Phenomena and Chaos , pp. 113-144
    • Broomhead, D.S.1    King, G.P.2
  • 5
    • 0001799628 scopus 로고
    • Essai expérimental et analytique: sur les lois de la dilatabilité de fluides élastique et sur celles de la force expansive de la vapeur de lalkool, à différentes températures
    • de Prony G S. 1795. Essai expérimental et analytique: sur les lois de la dilatabilité de fluides élastique et sur celles de la force expansive de la vapeur de lalkool, à différentes températures. Journal de l'Ecole Polytechnique 122: 24-76.
    • (1795) Journal de l'Ecole Polytechnique , vol.122 , pp. 24-76
    • De Prony, G.S.1
  • 8
    • 0001267036 scopus 로고
    • Estimating the dimension of weather and climate attractors
    • Fraedrich K. 1986. Estimating the dimension of weather and climate attractors. Journal of Atmospheric Sciences 43: 419-432.
    • (1986) Journal of Atmospheric Sciences , vol.43 , pp. 419-432
    • Fraedrich, K.1
  • 10
    • 0000351727 scopus 로고
    • Investigating causal relations by econometric models and cross-spectral methods
    • Granger CWJ. 1969. Investigating causal relations by econometric models and cross-spectral methods. Econometrica 373: 424-438.
    • (1969) Econometrica , vol.373 , pp. 424-438
    • Granger, C.W.J.1
  • 12
    • 41749116136 scopus 로고    scopus 로고
    • Singular spectrum analysis: Methodology and comparison
    • Hassani H. 2007. Singular spectrum analysis: methodology and comparison. Journal of Data Science 52: 239-257.
    • (2007) Journal of Data Science , vol.52 , pp. 239-257
    • Hassani, H.1
  • 13
    • 77950917811 scopus 로고    scopus 로고
    • Singular spectrum analysis based on the minimum variance estimator
    • Hassani H. 2010. Singular spectrum analysis based on the minimum variance estimator. Nonlinear Analysis: Real World Applications 113: 2065-2077.
    • (2010) Nonlinear Analysis: Real World Applications , vol.113 , pp. 2065-2077
    • Hassani, H.1
  • 14
    • 79957910740 scopus 로고    scopus 로고
    • A review on singular spectrum analysis for economic and financial time series
    • Hassani H, Thomakos D. 2010. A review on singular spectrum analysis for economic and financial time series. Statistics and its Interface 33: 377-397.
    • (2010) Statistics and Its Interface , vol.33 , pp. 377-397
    • Hassani, H.1    Thomakos, D.2
  • 15
    • 71449100605 scopus 로고    scopus 로고
    • Singular spectrum analysis: Methodology and application to economics data
    • Hassani H, Zhigljavsky A. 2009. Singular spectrum analysis: methodology and application to economics data. Journal of System Science and Complexity 223: 372-394.
    • (2009) Journal of System Science and Complexity , vol.223 , pp. 372-394
    • Hassani, H.1    Zhigljavsky, A.2
  • 16
    • 58949091426 scopus 로고    scopus 로고
    • Forecasting European industrial production with singular spectrum analysis
    • Hassani H, Heravi H, Zhigljavsky A. 2009a. Forecasting European industrial production with singular spectrum analysis. International Journal of Forecasting 251: 103-118.
    • (2009) Ternational Journal of Forecasting , vol.251 , pp. 103-118
    • Hassani, H.1    Heravi, H.2    Zhigljavsky, A.3
  • 18
    • 70350736287 scopus 로고    scopus 로고
    • The effect of noise reduction in measuring the linear and nonlinear dependency of financial markets
    • Hassani H, Dionisio A, Ghodsi M. 2010. The effect of noise reduction in measuring the linear and nonlinear dependency of financial markets. Nonlinear Analysis: Real World Applications 111: 492-502.
    • (2010) Nonlinear Analysis: Real World Applications , vol.111 , pp. 492-502
    • Hassani, H.1    Dionisio, A.2    Ghodsi, M.3
  • 20
    • 4344586989 scopus 로고    scopus 로고
    • Linear versus neural network forecasts for European industrial production series
    • Heravi S, Osborn D R, Birchenhall C R. 2004. Linear versus neural network forecasts for European industrial production series. International Journal of Forecasting 20: 435-446.
    • (2004) Ternational Journal of Forecasting , vol.20 , pp. 435-446
    • Heravi, S.1    Osborn, D.R.2    Birchenhall, C.R.3
  • 23
    • 19044365964 scopus 로고
    • Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series
    • Vautard R, Ghil M. 1989. Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series. Physica D 35: 395-424.
    • (1989) Physica D , vol.35 , pp. 395-424
    • Vautard, R.1    Ghil, M.2
  • 24
    • 19044361940 scopus 로고
    • Singular-spectrum analysis: A toolkit for short, noisy chaotic signal
    • Vautard R, Yiou P, Ghil M. 1992. Singular-spectrum analysis: a toolkit for short, noisy chaotic signal. Physica D 58: 95-126.
    • (1992) Physica D , vol.58 , pp. 95-126
    • Vautard, R.1    Yiou, P.2    Ghil, M.3
  • 25
    • 80053273697 scopus 로고    scopus 로고
    • Singular spectrum analysis for time series: Introduction to this special issue
    • Zhigljavsky A. 2010. Singular spectrum analysis for time series: introduction to this special issue. Statistics and its Interface 33: 255-258.
    • (2010) Statistics and Its Interface , vol.33 , pp. 255-258
    • Zhigljavsky, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.