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Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis
Minimum density power divergence estimation provides a general framework for robust statistics, depending on a parameter [Formula: see text] , which determines the robustness properties of the method. The usual estimation method is numerical minimization of the power divergence. The paper considers...
Autores principales: | Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Perrotta, Domenico |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516876/ https://www.ncbi.nlm.nih.gov/pubmed/33286173 http://dx.doi.org/10.3390/e22040399 |
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