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Model Fourier SARIMA×Model ARIMA Fourier×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal19942004-2012
PencetusHarvey & Scott (1994); Hyndman & Athanasopoulos (popularization)Becker, Enders, and Hurn; further extended by Enders and Lee
TipeSeasonal time series model with trigonometric regressorsTime series model
Sumber perintisHarvey, A., & Scott, A. (1994). Seasonality in dynamic regression models. The Economic Journal, 104(427), 1324-1345. link ↗Enders, W., & Lee, J. (2012). The flexible Fourier form and Dickey-Fuller type unit root tests. Economics Letters, 117(1), 196-202. DOI ↗
AliasFourier SARIMA, SARIMA with Fourier terms, Fourier-SARIMA, trigonometric SARIMAFourier ARIMA, ARIMA with Fourier terms, trigonometric ARIMA, Fourier-flexible ARIMA
Terkait62
RingkasanThe Fourier SARIMA model extends the classical Seasonal ARIMA framework by incorporating trigonometric (Fourier) terms as deterministic regressors. This allows the model to approximate smooth, complex, or multiple-frequency seasonal patterns without requiring a full seasonal ARIMA structure for every frequency, making it particularly useful for high-frequency data or series with non-integer or evolving seasonality.The Fourier ARIMA model augments a standard ARIMA specification with trigonometric sine and cosine terms, allowing it to capture smooth, gradual structural change and flexible nonlinear seasonality without specifying the exact timing or number of breaks in advance. It is widely used in applied macroeconometrics and finance for series exhibiting slowly evolving dynamics.
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ScholarGateBandingkan metode: Fourier SARIMA model · Fourier ARIMA model. Diakses 2026-06-18 dari https://scholargate.app/id/compare