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Regression modelEconometrics / time series

Muundo wa Fourier SARIMA

Muundo wa Fourier SARIMA huupanua mfumo wa kawaida wa SARIMA wa msimu kwa kuunganisha vipengele vya trigonometric (Fourier) kama virejeshi vya uhakika. Hii huruhusu muundo kuiga ruwaza za msimu laini, ngumu, au zenye mzunguko mwingi bila kuhitaji muundo kamili wa SARIMA kwa kila mzunguko, na kuufanya uwe muhimu sana kwa data ya mzunguko wa juu au mfululizo wenye msimu usio na hesabu kamili au unaobadilika.

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Vyanzo

  1. Harvey, A., & Scott, A. (1994). Seasonality in dynamic regression models. The Economic Journal, 104(427), 1324-1345. link
  2. Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: Principles and Practice (2nd ed.). OTexts. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Fourier-augmented Seasonal Autoregressive Integrated Moving Average Model. ScholarGate. https://scholargate.app/sw/econometrics/fourier-sarima-model

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ScholarGateFourier SARIMA model (Fourier-augmented Seasonal Autoregressive Integrated Moving Average Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/fourier-sarima-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026