Regression modelRegression / GLM
稳健多项逻辑回归
稳健多项逻辑回归将标准多项逻辑模型扩展至可处理异常值、有影响力的观测值以及响应分布的轻微错误设定。它用有界影响函数（M估计）替换常规的最大似然得分方程，或将最大似然与三明治方差估计量配对，从而使一小部分异常案例无法扭曲跨结果类别的估计对数几率比。
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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 ↗
- Agresti, A. (2002). Categorical Data Analysis (2nd ed.). Wiley-Interscience. ISBN: 978-0471360933
如何引用本页
ScholarGate. (2026, June 3). Robust Multinomial Logistic Regression. ScholarGate. https://scholargate.app/zh/statistics/robust-multinomial-logistic-regression
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