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Holt-Winters trostruko eksponencijalno izglađivanje×Strukturni model vremenskih serija (Osnovni strukturni model)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19601990
TvoracCharles C. Holt and Peter R. WintersAndrew C. Harvey
TipExponential smoothing forecasting modelState-space (unobserved components) time series model
Temeljni izvorWinters, P. R. (1960). Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324-342. DOI ↗Harvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 978-0521405737
Drugi nazivitriple exponential smoothing, Winters' method, Holt-Winters seasonal method, Holt-Winters Üçlü Üstel DüzleştirmeBSM, basic structural model, unobserved components model, Yapısal Zaman Serisi Modeli (BSM)
Srodne44
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.The Structural Time Series Model, in its Basic Structural Model (BSM) form, is Andrew Harvey's state-space approach that decomposes a series into separate stochastic trend, seasonal, cyclical, and irregular components. Developed in Harvey's 1990 treatment, it is prized for interpretability and component decomposition where ARIMA only delivers a black-box fit.
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ScholarGateUporedite metode: Holt-Winters · Structural Time Series Model. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare