So sánh phương pháp

	Hồi quy Bình phương Tối thiểu Thông thường (OLS)	Phương pháp Theta
Lĩnh vực	Kinh tế lượng	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	2019	2000
Người khởi xướng	Wooldridge (textbook treatment); classical least squares	Assimakopoulos & Nikolopoulos
Loại	Linear regression	Univariate time-series forecasting model
Công trình gốc	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860	Assimakopoulos, V. & Nikolopoulos, K. (2000). The Theta Model: A Decomposition Approach to Forecasting. International Journal of Forecasting, 16(4), 521-530.
Tên gọi khác	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu	theta model, theta forecasting, Theta Yöntemi — M3 Tahmin Yarışması Birincisi
Liên quan	5	4
Tóm tắt	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).	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.