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Robust model selection using the out-of-bag bootstrap in linear regression
Outlying observations have a large influence on the linear model selection process. In this article, we present a novel approach to robust model selection in linear regression to accommodate the situations where outliers are present in the data. The model selection criterion is based on two componen...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243146/ https://www.ncbi.nlm.nih.gov/pubmed/35768449 http://dx.doi.org/10.1038/s41598-022-14398-1 |