Adjusted Empirical Likelihood Estimation of Distribution Function and Quantile with Nonignorable Missing Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Computer Science (miscellaneous)
Link
http://link.springer.com/article/10.1007/s11424-018-6334-6/fulltext.html
Reference36 articles.
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4. Zhao J and Shao J, Approximate conditional likelihood for generalized linear models with general missing data mechanism, Journal of Systems Science and Complexity, 2017, 30(1): 139–153.
5. Kim J K and Yu C L, A semiparametric estimation of mean functionals with nonignorable missing data, Journal of the American Statistical Association, 2011, 106(493): 157–165.
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