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Wild bootstrap for quantile regression

The existing theory of the wild bootstrap has focused on linear estimators. In this note, we broaden its validity by providing a class of weight distributions that is asymptotically valid for quantile regression estimators. As most weight distributions in the literature lead to biased variance estim...

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Bibliografski detalji
Glavni autori: Feng, Xingdong, He, Xuming, Hu, Jianhua
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2011
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3413178/
https://ncbi.nlm.nih.gov/pubmed/23049133
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asr052
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