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Regression modelRegression / GLM

Muundo Imara wa Probit

Muundo Imara wa Probit hutathmini uwezekano wa matokeo ya binary kwa kutumia utendaji wa kiungo cha probit huku ukilinda dhana kutokana na kutofafanuliwa vibaya kwa usambazaji wa makosa au heteroscedasticity. Vigezo hupatikana kupitia uwezekano wa juu zaidi; makosa ya kawaida hubadilishwa na kiwango cha makosa cha sandwich (Huber-White), ambacho hubaki thabiti hata wakati dhana ya kosa la variance si sahihi.

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Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
  2. White, H. (1982). Maximum Likelihood Estimation of Misspecified Models. Econometrica, 50(1), 1–25. DOI: 10.2307/1912526

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Probit Regression Model. ScholarGate. https://scholargate.app/sw/statistics/robust-probit-model

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.

Compare side by side
ScholarGateRobust Probit Model (Robust Probit Regression Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/robust-probit-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026