Kikokotozi cha Tau (τ) chaUREJESHO
Kikokotozi cha Tau ni mbinu dhabiti ya urejeshaji wa mstari iliyoanzishwa na Yohai na Zamar mwaka 1988 ambayo inalinganisha modeli kwa kupunguza kiwango dhabiti cha τ cha mabaki. Kinajengwa juu ya makadirio ya kiwango cha mtafiti wa S ili kuchanganya kiwango cha juu cha kuvunjika na ufanisi mkuu wa takwimu, na mara nyingi hutumiwa kama mbadala wa mtafiti wa MM katika sampuli ndogo.
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
- Yohai, V. J., & Zamar, R. H. (1988). High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale. Journal of the American Statistical Association, 83(402), 406-413. DOI: 10.1080/01621459.1988.10478611 ↗
- Maronna, R. A., & Zamar, R. H. (2002). Robust Estimates of Location and Dispersion for High-Dimensional Datasets. Technometrics, 44(4), 307-317. DOI: 10.1198/004017002188618509 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 1). Tau (τ) Estimator of Regression. ScholarGate. https://scholargate.app/sw/statistics/tau-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.
- Usawa wa Viwango Vidogo Vilivyopunguzwa (LTS) RegressionTakwimu↔ compare
- Uthabiti wa MM kwa Regresi ImaraTakwimu↔ compare
- Mbinu ya S-estimator kwa ajili ya Regresi ImaraTakwimu↔ compare
- Mkadiri wa Theil-SenTakwimu↔ compare
Imerejelewa na
Umeona tatizo kwenye ukurasa huu? Ripoti au pendekeza marekebisho →