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...

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Detalles Bibliográficos
Autores principales: Riani, Marco, Atkinson, Anthony C., Corbellini, Aldo, Perrotta, Domenico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

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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