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Variance Estimation in Censored Quantile Regression via Induced Smoothing
Statistical inference in censored quantile regression is challenging, partly due to the unsmoothness of the quantile score function. A new procedure is developed to estimate the variance of Bang and Tsiatis’s inverse-censoring-probability weighted estimator for censored quantile regression by employ...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3338150/ https://ncbi.nlm.nih.gov/pubmed/22547899 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2010.10.018 |
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