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A General Framework for Quantile Estimation with Incomplete Data

Quantile estimation has attracted significant research interests in recent years. However, there has been only a limited literature on quantile estimation in the presence of incomplete data. In this paper, we propose a general framework to address this problem. Our framework combines the two widely...

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Bibliografski detalji
Izdano u:J R Stat Soc Series B Stat Methodol
Glavni autori: Han, Peisong, Kong, Linglong, Zhao, Jiwei, Zhou, Xingcai
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6801117/
https://ncbi.nlm.nih.gov/pubmed/31632183
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12309
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