方法证据记录
M-Estimator
M-estimators are a robust generalisation of maximum likelihood estimation, formalised in the work of Peter J. Huber (Huber & Ronchetti, 2009). Instead of squaring every residual, they apply a bounded loss function so that large residuals from outliers are down-weighted rather than allowed to dominate the fit.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
M-Estimators (Robust Regression)
分类方法记录 · regression-model / statistics
- Huber, P. J., & Ronchetti, E. M. (2009). Robust Statistics (2nd ed.). Wiley. · URL
- Maronna, R. A., Martin, R. D., Yohai, V. J., & Salibián-Barrera, M. (2019). Robust Statistics: Theory and Methods (with R) (2nd ed.). Wiley. · URL
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