Rank-Based Empirical Likelihood for Regression Models with Responses Missing at Random
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-99389-8_3
Reference38 articles.
1. Bindele, H. F. (2015). The signed-rank estimator for nonlinear regression with responses missing at random. Electronic Journal of Statistics, 9(1), 1424–1448.
2. Bindele, H. F., & Abebe, A. (2012). Bounded influence nonlinear signed-rank regression. Canadian Journal of Statistics, 40(1), 172–189.
3. Bindele, H. F., & Abebe, A. (2015). Semi-parametric rank regression with missing responses. Journal of Multivariate Analysis, 142, 117–132.
4. Bindele, H. F., & Zhao, Y. (2016). Signed-rank regression inference via empirical likelihood. Journal of Statistical Computation and Simulation, 86(4), 729–739.
5. Bindele, H. F., & Zhao, Y. (in press). Rank-based estimating equation with non-ignorable missing responses via empirical likelihood. Statistica Sinica.
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