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Sezonski ARIMA (SARIMA)×Пророк×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka20152018
TvoracBox & Jenkins (seasonal extension of ARIMA)Taylor & Letham (Facebook/Meta)
TipSeasonal time-series modelDecomposable (structural) time series model
Temeljni izvorBox, G.E.P., Jenkins, G.M., Reinsel, G.C. & Ljung, G.M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021Taylor, S. J. & Letham, B. (2018). Forecasting at Scale. The American Statistician, 72(1), 37-45. DOI ↗
Drugi naziviseasonal ARIMA, Box-Jenkins seasonal model, SARIMA — Mevsimsel ARIMAProphet, Facebook Prophet, Meta Prophet, forecasting at scale
Srodne55
SažetakSARIMA 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.Prophet is a Bayesian structural time series model introduced by Taylor and Letham at Facebook/Meta in 2018. It forecasts a continuous series by decomposing it into separate, interpretable trend, seasonality, and holiday components, and is designed to be approachable for analysts working at scale.
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ScholarGateUporedite metode: SARIMA · Prophet. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare