Empirical likelihood inference in linear regression with nonignorable missing response-Reference-Cited by-同舟云学术

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Empirical likelihood inference in linear regression with nonignorable missing response

Published:2014-11 Issue: Volume:79 Page:91-112
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Niu Cuizhen,Guo Xu,Xu Wangli,Zhu Lixing

Funder

National Natural Science Foundation of China

Research Grants Council of Hong Kong

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference23 articles.

1. Methodology and algorithms of empirical likelihood;Hall;Internat. Statist. Rev.,1990

2. Statistical analysis of randomized experiments with non-ignorable missing binary outcomes: an application to a voting experiment;Imai;J. R. Stat. Soc. Ser. C,2009

3. Data-driven sensitivity analysis to detect missing data mechanism with applications to structural equation modelling;Jamshidian;J. Stat. Comput. Simul.,2013

4. A semiparametric estimation of mean functionals with nonignorable missing data;Kim;J. Amer. Statist. Assoc.,2011

5. A review and comparison of bandwidth selection methods for kernel regression;Köhler;Internat. Statist. Rev.,2014

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