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Model SARIMA Teguh

SARIMA Teguh melanjutkan kerangka kerja ARIMA bermusim klasik dengan menggantikan kriteria kuasa dua terkecil standard dengan fungsi kerugian yang teguh — seperti M-estimator — supaya pencilan dan inovasi berekor lebat dalam siri masa bermusim tidak dapat mendistorsikan anggaran parameter atau mengesahkan ramalan.

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Sumber

  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

Cara memetik halaman ini

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

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ScholarGateRobust SARIMA model (Robust Seasonal Autoregressive Integrated Moving Average Model). Dicapai 2026-06-15 daripada https://scholargate.app/ms/econometrics/robust-sarima-model · Set data: https://doi.org/10.5281/zenodo.20539026