পদ্ধতির তুলনা করুন

	Spatial Lag Model (SAR / Spatial Autoregressive)	সাধারণ ন্যূনতম বর্গক্ষেত্র (OLS) রিগ্রেশন
ক্ষেত্র	স্থানিক বিশ্লেষণ	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1988	2019
প্রবর্তক	Anselin (textbook formalisation); LeSage & Pace	Wooldridge (textbook treatment); classical least squares
ধরন	Spatial autoregressive regression	Linear regression
মৌলিক উৎস	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
অপর নাম	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
সম্পর্কিত	5	5
সারসংক্ষেপ	The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.	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).