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A fast imputation algorithm in quantile regression
In many applications, some covariates could be missing for various reasons. Regression quantiles could be either biased or under-powered when ignoring the missing data. Multiple imputation and EM-based augment approach have been proposed to fully utilize the data with missing covariates for quantile...
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| Pubblicato in: | Comput Stat |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6417839/ https://ncbi.nlm.nih.gov/pubmed/30880877 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00180-018-0813-z |
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