Carregant...
Linear Model Selection when Covariates Contain Errors
Prediction precision is arguably the most relevant criterion of a model in practice and is often a sought after property. A common difficulty with covariates measured with errors is the impossibility of performing prediction evaluation on the data even if a model is completely given without any unkn...
Guardat en:
| Publicat a: | J Am Stat Assoc |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
|
| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5798903/ https://ncbi.nlm.nih.gov/pubmed/29416191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1219262 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|