A performance counterexample of Billor–Chatterjee–Hadi procedure and an improvement proposal for robust regression
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Publication:4976587
DOI10.1080/03610918.2015.1078472zbMath1422.62119OpenAlexW2553500391WikidataQ124798645 ScholiaQ124798645MaRDI QIDQ4976587
Annalisa Orenti, Ettore Marubini
Publication date: 31 July 2017
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2015.1078472
Linear regression; mixed models (62J05) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)
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Cites Work
- A Re-Weighted Least Squares Method for Robust Regression Estimation
- A Bounded Influence Regression Estimator Based on the Statistics of the Hat Matrix
- Robust regression:a weighted least squares approach
- The largest nonidentifiable outlier: a comparison of multivariate simultaneous outlier identification rules.
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