Linganisha mbinu

	Mchoro wa Kanga wa Kijiografia (SDM)	Urejeshaji wa Njia ya Viwango Vidogo vya Kawaida (OLS)
Nyanja	Uchanganuzi wa Kimaeneo	Ekonometriki
Familia	Regression model	Regression model
Mwaka wa asili	2009	2019
Mwanzilishi	LeSage & Pace	Wooldridge (textbook treatment); classical least squares
Aina	Spatial regression model	Linear regression
Chanzo asilia	LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Majina mbadala	SDM, spatial mixed model, uzamsal durbin modeli	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Zinazohusiana	5	5
Muhtasari	The Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases.	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).