Empirical likelihood for conditional quantile with left-truncated and dependent data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s10463-011-0335-8.pdf
Reference46 articles.
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4. Cai T., Wei L.J., Wilcox M. (2000) Semiparametric regression analysis for clustered failure time data. Biometrika 87: 867–878
5. Chaudhuri P., Doksum K., Samarov A. (1997) On average derivative quantile regression. The Annals of Statistics 25: 715–744
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1. Empirical likelihood of conditional quantile difference with left-truncated and dependent data;Journal of the Korean Statistical Society;2020-02-12
2. Penalized empirical likelihood for quantile regression with missing covariates and auxiliary information;Communications in Statistics - Theory and Methods;2017-10-04
3. Empirical likelihood for partially time-varying coefficient models with dependent observations;Journal of Nonparametric Statistics;2012-03
4. Empirical likelihood inference for partially time-varying coefficient errors-in-variables models;Electronic Journal of Statistics;2012-01-01
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