পদ্ধতির তুলনা করুন

	কাঠামোগত বিরতি WLS (কাঠামোগত বিরতি সংশোধন সহ ওয়েটেড লিস্ট স্কোয়ার্স)	Robust Weighted Least Squares (Robust WLS)
ক্ষেত্র	অর্থমিতি	অর্থমিতি
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1998 (break framework); WLS long-established	1964/1981
প্রবর্তক	Bai & Perron (structural break framework); WLS classical	Huber, P. J.
ধরন	Weighted regression with regime shifts	Robust weighted regression
মৌলিক উৎস	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78.	Huber, P. J. (1981). Robust Statistics. Wiley. ISBN: 978-0471418054
অপর নাম	WLS with structural change, break-corrected WLS, segmented WLS, structural break weighted regression	robust weighted least squares, RWLS, heteroscedasticity-robust WLS, outlier-robust weighted regression
সম্পর্কিত	5	5
সারসংক্ষেপ	Structural Break WLS combines Weighted Least Squares estimation with explicit detection and correction for structural breaks — abrupt regime shifts — in the data. By identifying break points and assigning observation-level weights that account for heteroscedasticity within and across regimes, the estimator delivers consistent, efficient coefficient estimates even when the error variance changes dramatically at a break.	Robust WLS combines weighted least squares — which corrects for known or estimated heteroscedasticity — with robust M-estimation that down-weights influential outliers. The result is a regression estimator that is simultaneously efficient under non-constant error variance and resistant to observations that would otherwise distort coefficient estimates.