विधियों की तुलना करें

	SARIMA मॉडल	ऑटोरेग्रेसिव मॉडल (AR)
क्षेत्र	अर्थमिति	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1970 (first edition); 1976 (revised)	1970s (popularised 1976)
प्रवर्तक	Box, Jenkins, and Reinsel	George E. P. Box and Gwilym M. Jenkins
प्रकार	Seasonal time series model	Time series model
मौलिक स्रोत	Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0130607744	Box, G. E. P., & Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control (revised ed.). Holden-Day. ISBN: 978-0816211043
उपनाम	SARIMA, seasonal ARIMA, Box-Jenkins seasonal model, ARIMA with seasonal component	AR model, AR(p) model, autoregression, AR process
संबंधित	5	6
सारांश	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.	An autoregressive model of order p — AR(p) — expresses the current value of a time series as a linear function of its own p most recent past values plus a white-noise error. It is the building block of the Box-Jenkins family of time-series models and is widely used for forecasting stationary economic and financial series.