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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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Detaylı Bibliyografya
Yayımlandı:J R Stat Soc Series B Stat Methodol
Asıl Yazarlar: Han, Peisong, Kong, Linglong, Zhao, Jiwei, Zhou, Xingcai
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2019
Konular:
Online Erişim: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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