পদ্ধতির তুলনা করুন

	সরল ও দ্বৈত সূচকীয় মসৃণীকরণ (SES / Holt)	Seasonal ARIMA (SARIMA)
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1957	2015
প্রবর্তক	Robert G. Brown (SES); Charles C. Holt (linear trend)	Box & Jenkins (seasonal extension of ARIMA)
ধরন	Exponential smoothing forecasting model	Seasonal time-series model
মৌলিক উৎস	Brown, R. G. (1959). Statistical Forecasting for Inventory Control. McGraw-Hill.	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
অপর নাম	SES, Holt's linear trend method, exponential smoothing forecasting, Basit ve Çift Üstel Düzleştirme (SES / Holt)	seasonal ARIMA, Box-Jenkins seasonal model, SARIMA — Mevsimsel ARIMA
সম্পর্কিত	3	5
সারসংক্ষেপ	Exponential smoothing is a family of basic time-series forecasting models in which each new observation updates a smoothed estimate by a weighting parameter. Simple exponential smoothing (SES), introduced by Robert G. Brown in 1959, forecasts series with a stable level, while Holt's double exponential smoothing, introduced by Charles C. Holt in 1957, adds a trend term using the parameters alpha and beta.	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.