ScholarGate
助手
Regression modelRegression / GLM

稳健Probit模型

稳健Probit模型使用Probit链接函数来估计二元结果的概率,同时保护推断不受误差分布或异方差误设的影响。系数通过最大似然估计获得;然后用sandwich(Huber-White)估计量替换标准误,即使在假设的误差方差不正确时,该估计量仍然是一致的。

用 StatMind 应用即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

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

来源

  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

如何引用本页

ScholarGate. (2026, June 3). Robust Probit Regression Model. ScholarGate. https://scholargate.app/zh/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). 于 2026-06-15 检索自 https://scholargate.app/zh/statistics/robust-probit-model · 数据集: https://doi.org/10.5281/zenodo.20539026