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FSR Methods for Second-Order Regression Models
Most variable selection techniques focus on first-order linear regression models. Often, interaction and quadratic terms are also of interest, but the number of candidate predictors grows very fast with the number of original predictors, making variable selection more difficult. Forward selection al...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3072220/ https://ncbi.nlm.nih.gov/pubmed/21479118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2011.01.009 |
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