เปรียบเทียบวิธี

	Seasonal ARIMA (SARIMA)	Holt-Winters Triple Exponential Smoothing
สาขาวิชา	เศรษฐมิติ	เศรษฐมิติ
ตระกูล	Regression model	Regression model
ปีกำเนิด	2015	1960
ผู้ริเริ่ม	Box & Jenkins (seasonal extension of ARIMA)	Charles C. Holt and Peter R. Winters
ประเภท	Seasonal time-series model	Exponential smoothing forecasting model
แหล่งต้นตำรับ	Box, G.E.P., Jenkins, G.M., Reinsel, G.C. & Ljung, G.M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021	Winters, P. R. (1960). Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324-342.
ชื่อเรียกอื่น	seasonal ARIMA, Box-Jenkins seasonal model, SARIMA — Mevsimsel ARIMA	triple exponential smoothing, Winters' method, Holt-Winters seasonal method, Holt-Winters Üçlü Üstel Düzleştirme
ที่เกี่ยวข้อง	5	4
สรุป	SARIMA is a seasonal extension of the Box-Jenkins ARIMA model that adds seasonal differencing and seasonal autoregressive and moving-average terms. Developed within the Box, Jenkins, Reinsel and Ljung framework (5th edition, 2015), it forecasts series whose pattern repeats on a yearly, monthly, or weekly period.	Holt-Winters triple exponential smoothing is a forecasting model that extends Holt's double smoothing by adding a seasonal component, introduced by Peter Winters in 1960 building on Charles Holt's work. It tracks three evolving quantities — level, trend, and season — and combines them to forecast a continuous time series.