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Holt-Winters trostruko eksponencijalno izglađivanje×Пророк×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19602018
TvoracCharles C. Holt and Peter R. WintersTaylor & Letham (Facebook/Meta)
TipExponential smoothing forecasting modelDecomposable (structural) time series model
Temeljni izvorWinters, P. R. (1960). Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324-342. DOI ↗Taylor, S. J. & Letham, B. (2018). Forecasting at Scale. The American Statistician, 72(1), 37-45. DOI ↗
Drugi nazivitriple exponential smoothing, Winters' method, Holt-Winters seasonal method, Holt-Winters Üçlü Üstel DüzleştirmeProphet, Facebook Prophet, Meta Prophet, forecasting at scale
Srodne45
SažetakHolt-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.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: Holt-Winters · Prophet. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare