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Regression model

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.

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Vyanzo

  1. 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
  2. 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

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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.

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Imerejelewa na

ScholarGateWild Bootstrap (Wild Bootstrap for Regression Inference). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/wild-bootstrap · Seti ya data: https://doi.org/10.5281/zenodo.20539026