Regression model
稳健逻辑回归
稳健逻辑回归是逻辑回归的一种变体，它通过Mallows型加权估计来拟合二元或分类结果，对异常值和杠杆点具有抵抗力。广义线性模型的稳健框架由Cantoni和Ronchetti（2001）提出，其加权方法后来由Bondell（2008）进行了改进。
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Method map
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来源
- Cantoni, E. & Ronchetti, E. (2001). Robust Inference for Generalized Linear Models. Journal of the American Statistical Association, 96(455), 1022-1030. DOI: 10.1198/016214501753209004 ↗
- Bondell, H. D. (2008). Robust Logistic Regression Using a Weighting Approach. Biometrics, 64(2), 421-427. link ↗
如何引用本页
ScholarGate. (2026, June 1). Robust Logistic Regression (Mallows-Type Weighted Estimation). ScholarGate. https://scholargate.app/zh/statistics/robust-logistic-regression
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.
- 逻辑回归研究统计学↔ compare
- MM估计量稳健回归统计学↔ compare
- 普通最小二乘法 (OLS) 回归计量经济学↔ compare
- 分位数回归计量经济学↔ compare
- 稳健时间序列分析统计学↔ compare