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Usajili wa mstari wa kurudi nyuma kwa uthabiti (Robust Linear Regression)

Usajili wa mstari wa kurudi nyuma kwa uthabiti huweka mfumo wa mstari kati ya vigezo vya utabiri na matokeo yanayoendelea huku ukipunguza uzito au kutupa nje data zenye ushawishi mkubwa, na kuzuia uchunguzi wachache wa kipekee ambao OLS inahusika nao sana usipotoshe mstari mzima uliokadiriwa. Aina kuu ni pamoja na usajili wa kurudi nyuma wa Huber, mbinu ya mabaki ya chini zaidi yenye uzito unaorudiwa (IRLS), RANSAC, na makadirio ya Theil-Sen.

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Vyanzo

  1. Huber, P. J. (1964). Robust Estimation of a Location Parameter. Annals of Mathematical Statistics, 35(1), 73–101. DOI: 10.1214/aoms/1177703732
  2. Rousseeuw, P. J. & Leroy, A. M. (1987). Robust Regression and Outlier Detection. Wiley. ISBN: 978-0-471-85233-9

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Linear Regression (Outlier-Resistant Estimation). ScholarGate. https://scholargate.app/sw/machine-learning/robust-linear-regression

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Imerejelewa na

ScholarGateRobust Linear Regression (Robust Linear Regression (Outlier-Resistant Estimation)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/robust-linear-regression · Seti ya data: https://doi.org/10.5281/zenodo.20539026