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Corrected-loss estimation for quantile regression with covariate measurement errors

We study estimation in quantile regression when covariates are measured with errors. Existing methods require stringent assumptions, such as spherically symmetric joint distribution of the regression and measurement error variables, or linearity of all quantile functions, which restrict model flexib...

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Bibliografske podrobnosti
Main Authors: Wang, Huixia Judy, Stefanski, Leonard A., Zhu, Zhongyi
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2012
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC3635707/
https://ncbi.nlm.nih.gov/pubmed/23843665
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/ass005
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