Uchambuzi wa Wild Bootstrap kwa Uingizaji wa Regressheni
Wild bootstrap ni mbinu ya upyaji kwa mifumo ya regressheni yenye makosa ya heteroscedastic, iliyoanzishwa na Wu (1986) na kuboreshwa na Davidson na Flachaire (2008). Inajenga usambazaji wa bootstrap kwa kuongeza tena kila kilichobaki kilichofaa kwa ishara ya nasibu, ili makosa sanifu na vipindi vya kujiamini viendelee kuwa halali wakati kigeugeu cha kosa si thabiti au data zimepangwa.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
+1 more
Vyanzo
- Wu, C. F. J. (1986). Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis. Annals of Statistics, 14(4), 1261-1295. DOI: 10.1214/aos/1176350142 ↗
- Davidson, R., & Flachaire, E. (2008). The Wild Bootstrap, Tamed at Last. Journal of Econometrics, 146(1), 162-169. DOI: 10.1016/j.jeconom.2008.08.003 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 1). Wild Bootstrap for Regression Inference. ScholarGate. https://scholargate.app/sw/statistics/wild-bootstrap
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.
- Bayesian Bootstrap (Rubin)Takwimu↔ compare
- Usanifu wa vitalu (Vitalu vinavyohamia na vilivyosimama)Takwimu↔ compare
- Utoaji wa Hitimisho kwa Njia ya BootstrapTakwimu↔ compare
- Urejeshaji wa Njia ya Viwango Vidogo vya Kawaida (OLS)Ekonometriki↔ compare
- Kipimo cha Mgeuzo (Ubaguzi)Takwimu↔ compare
Imerejelewa na
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