Linganisha mbinu

	Ulainishaji Lainifu wa Kielelezo Mara Tatu wa Holt-Winters	Muundo wa Wakati wa Muundo (Muundo wa Msingi wa Muundo)
Nyanja	Ekonometriki	Ekonometriki
Familia	Regression model	Regression model
Mwaka wa asili	1960	1990
Mwanzilishi	Charles C. Holt and Peter R. Winters	Andrew C. Harvey
Aina	Exponential smoothing forecasting model	State-space (unobserved components) time series model
Chanzo asilia	Winters, P. R. (1960). Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324-342.	Harvey, A. C. (1990). Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press. ISBN: 978-0521405737
Majina mbadala	triple exponential smoothing, Winters' method, Holt-Winters seasonal method, Holt-Winters Üçlü Üstel Düzleştirme	BSM, basic structural model, unobserved components model, Yapısal Zaman Serisi Modeli (BSM)
Zinazohusiana	4	4
Muhtasari	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.	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.