Quantile regression and its empirical likelihood with missing response at random
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/article/10.1007/s00362-016-0784-5/fulltext.html
Reference36 articles.
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3. Chen X, Wan ATK, Zhou Y (2015) Efficient quantile regression analysis with missing observations. J Am Stat Assoc 110(510):723–741
4. Ciuperca G (2013) Empirical likelihood for nonlinear models with missing responses. J Stat Comput Simul 83:739–758
5. Fan GL, Liang HY, Wang JF (2013) Empirical likelihood for heteroscedastic partially linear errors-in-variables model with $$\alpha $$ α -mixing errors. Stat Pap 54:85–112
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