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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...
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| Publié dans: | PLoS One |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7654815/ https://ncbi.nlm.nih.gov/pubmed/33170868 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0240046 |
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