Порівняння методів

	Метод Тета	Потрійне експоненційне згладжування Хольта-Вінтерса
Галузь	Економетрика	Економетрика
Родина	Regression model	Regression model
Рік появи	2000	1960
Автор методу	Assimakopoulos & Nikolopoulos	Charles C. Holt and Peter R. Winters
Тип	Univariate time-series forecasting model	Exponential smoothing forecasting model
Основоположне джерело	Assimakopoulos, V. & Nikolopoulos, K. (2000). The Theta Model: A Decomposition Approach to Forecasting. International Journal of Forecasting, 16(4), 521-530.	Winters, P. R. (1960). Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324-342.
Інші назви	theta model, theta forecasting, Theta Yöntemi — M3 Tahmin Yarışması Birincisi	triple exponential smoothing, Winters' method, Holt-Winters seasonal method, Holt-Winters Üçlü Üstel Düzleştirme
Пов'язані	4	4
Підсумок	The Theta Method is a univariate time-series forecasting model introduced by Assimakopoulos and Nikolopoulos in 2000. It decomposes a series into two theta lines that capture its long-run trend and its short-run dynamics, forecasts each line separately, and combines them by a weighted average. Its simplicity and accuracy made it the winner of the M3 forecasting competition.	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.