Bandingkan kaedah

	Model ARIMA Teguh	Model SARIMA
Bidang	Ekonometrik	Ekonometrik
Keluarga	Regression model	Regression model
Tahun asal	1986–1993	1970 (first edition); 1976 (revised)
Pengasas	Tsay (1986); Chen & Liu (1993)	Box, Jenkins, and Reinsel
Jenis	Robust time series model	Seasonal time series model
Sumber perintis	Tsay, R. S. (1986). Time series model specification in the presence of outliers. Journal of the American Statistical Association, 81(393), 132–141.	Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744
Alias	robust ARIMA, outlier-resistant ARIMA, robust time series estimation, ARIMA with outlier detection	SARIMA, seasonal ARIMA, Box-Jenkins seasonal model, ARIMA with seasonal component
Berkaitan	4	5
Ringkasan	Robust ARIMA extends the classical ARIMA framework to detect and correct the influence of outliers and structural breaks during estimation. By jointly identifying anomalous observations and re-estimating model parameters, it produces coefficient estimates and forecasts that are far less distorted by isolated shocks or data errors than standard ARIMA.	SARIMA extends ARIMA by adding seasonal autoregressive and moving-average operators to capture repeating patterns at fixed intervals — such as monthly, quarterly, or annual cycles. Denoted SARIMA(p,d,q)(P,D,Q)s, it is the standard workhorse for univariate seasonal time series forecasting in econometrics, economics, and official statistics.