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DGQR estimation for interval censored quantile regression with varying-coefficient models
This paper propose a direct generalization quantile regression estimation method (DGQR estimation) for quantile regression with varying-coefficient models with interval censored data, which is a direct generalization for complete observed data. The consistency and asymptotic normality properties of...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654815/ https://www.ncbi.nlm.nih.gov/pubmed/33170868 http://dx.doi.org/10.1371/journal.pone.0240046 |