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A Fast Procedure for Calculating Importance Weights in Bootstrap Sampling
Importance sampling is an efficient strategy for reducing the variance of certain bootstrap estimates. It has found wide applications in bootstrap quantile estimation, proportional hazards regression, bootstrap confidence interval estimation, and other problems. Although estimation of the optimal sa...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2976546/ https://ncbi.nlm.nih.gov/pubmed/21076658 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2010.04.019 |
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