Mbinu ya S-estimator kwa ajili ya Regresi Imara
S-estimator ni mbinu imara ya regresi ya mstari, iliyoanzishwa na Rousseeuw na Yohai mwaka 1984, ambayo hutathmini vigezo kwa kupunguza kiwango kidogo cha makosa ya mabaki badala ya utofauti wa makosa hayo. Kwa kupunguza kipimo kilicho na kikomo cha usambazaji wa makosa, inaweza kufikia kiwango cha kuvunjika hadi 50%, hivyo hubaki kuwa ya kuaminika hata pale ambapo sehemu kubwa ya data ina alama za nje (outliers), na hutoa hatua ya kwanza ya MM-estimator inayojulikana.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Rousseeuw, P. J. & Yohai, V. J. (1984). Robust Regression by Means of S-Estimators. In Robust and Nonlinear Time Series Analysis (Lecture Notes in Statistics, Vol. 26, pp. 256-272). Springer. DOI: 10.1007/978-1-4615-7821-5_15 ↗
- Maronna, R. A., Martin, R. D., Yohai, V. J. & Salibián-Barrera, M. (2019). Robust Statistics: Theory and Methods (with R) (2nd ed.). Wiley. ISBN: 978-1119214687
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 1). S-Estimator for Robust Regression. ScholarGate. https://scholargate.app/sw/statistics/s-estimator
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Uthabiti wa MM kwa Regresi ImaraTakwimu↔ compare
- Urejeshaji wa Njia ya Viwango Vidogo vya Kawaida (OLS)Ekonometriki↔ compare
- Regression ya Kiasi (Quantile Regression)Ekonometriki↔ compare
- Kikokotozi cha Tau (τ) chaUREJESHOTakwimu↔ compare
- Mkadiri wa Theil-SenTakwimu↔ compare
Imerejelewa na
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