Confronta i metodi

	Levigatura tripla esponenziale di Holt-Winters	Regression with Ordinary Least Squares (OLS)
Campo	Econometria	Econometria
Famiglia	Regression model	Regression model
Anno di origine	1960	2019
Ideatore	Charles C. Holt and Peter R. Winters	Wooldridge (textbook treatment); classical least squares
Tipo	Exponential smoothing forecasting model	Linear regression
Fonte seminale	Winters, P. R. (1960). Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324-342.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Alias	triple exponential smoothing, Winters' method, Holt-Winters seasonal method, Holt-Winters Üçlü Üstel Düzleştirme	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Correlati	4	5
Sintesi	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.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).