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Regression modelEconometrics / time series

Mfumo Imara wa SARIMA

SARIMA Imara (Robust SARIMA) huupanua mfumo wa kawaida wa SARIMA kwa kubadili kigezo cha kawaida cha mraba mdogo zaidi na kigezo cha hasara imara — kama vile kigezo-M — ili kwamba mkengeuko na uvumbuzi wenye ncha nzito katika mfululizo wa muda wa msimu hauwezi kupotosha makadirio ya vigezo au kufanya utabiri kuwa batili.

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Method map

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Vyanzo

  1. Muler, N., Peña, D., & Yohai, V. J. (2009). Robust estimation for ARMA models. The Annals of Statistics, 37(2), 816–840. DOI: 10.1214/07-AOS570
  2. Franses, P. H., & Ghijsels, H. (1999). Additive outliers, GARCH and forecasting volatility. International Journal of Forecasting, 15(1), 1–9. DOI: 10.1016/S0169-2070(98)00053-3

Jinsi ya kunukuu ukurasa huu

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

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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