Dimension-reduced empirical likelihood inference for response mean with data missing at random-Reference-Cited by-同舟云学术

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Dimension-reduced empirical likelihood inference for response mean with data missing at random

Published:2017-06-20 Issue:3 Volume:29 Page:594-614
ISSN:1048-5252
Container-title:Journal of Nonparametric Statistics
language:en
Short-container-title:Journal of Nonparametric Statistics

Author:

Wang Lei¹²³,Deng Guangming³⁴

Affiliation:

1. LPMC and Institute of Statistics, Nankai University, Tianjin, People's Republic of China

2. School of Statistics, East China Normal University, Shanghai, People's Republic of China

3. Department of Statistics, University of Wisconsin–Madison, WI, USA

4. College of Science, Guilin University of Technology, Guangxi, People's Republic of China

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

National Social Science Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10485252.2017.1339307

Reference24 articles.

1. Nonparametric Kernel Estimation for Semiparametric Models

2. Uniform improvement of empirical likelihood for missing response problem

3. Efficient Quantile Regression Analysis With Missing Observations

4. Nonparametric Estimation of Mean Functionals with Data Missing at Random

5. On the Interpretation of Regression Plots

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dimension-reduced empirical likelihood estimation and inference for M-estimators with nonignorable nonresponse;Statistics;2022-03-04

2. Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random;Discrete Dynamics in Nature and Society;2020-12-15

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