পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| কাঠামোগত বিরতি WLS (কাঠামোগত বিরতি সংশোধন সহ ওয়েটেড লিস্ট স্কোয়ার্স)× | Weighted Least Squares (WLS)× | |
|---|---|---|
| ক্ষেত্র≠ | অর্থমিতি | পরিসংখ্যান |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1998 (break framework); WLS long-established | 1935 |
| প্রবর্তক≠ | Bai & Perron (structural break framework); WLS classical | Alexander Craig Aitken |
| ধরন≠ | Weighted regression with regime shifts | Weighted linear estimator |
| মৌলিক উৎস≠ | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗ | Aitken, A. C. (1935). IV.—On least squares and linear combination of observations. Proceedings of the Royal Society of Edinburgh, 55, 42–48. DOI ↗ |
| অপর নাম | WLS with structural change, break-corrected WLS, segmented WLS, structural break weighted regression | WLS, weighted regression, heteroscedasticity-corrected OLS, variance-weighted least squares |
| সম্পর্কিত≠ | 5 | 3 |
| 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. | Weighted Least Squares is a generalization of Ordinary Least Squares (OLS) regression that assigns each observation a weight inversely proportional to its error variance, thereby down-weighting high-variance data points and up-weighting precise ones. Introduced in its general matrix form by Alexander Craig Aitken in 1935, WLS is the canonical remedy when heteroscedasticity is present and the error variance structure is known or can be reliably estimated. |
| ScholarGateডেটাসেট ↗ |
|
|