Empirical likelihood for nonlinear regression models with nonignorable missing responses-Reference-Cited by-同舟云学术

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Empirical likelihood for nonlinear regression models with nonignorable missing responses

Published:2020-03-02 Issue:3 Volume:48 Page:386-416
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Yang Zhihuang¹,Tang Niansheng¹^ORCID

Affiliation:

1. Yunnan Key Laboratory of Statistical Modeling and Data AnalysisYunnan UniversityKunming 650091 Yunnan PR China

Funder

Key Projects of the National Natural Science Foundation of China National Natural Science Foundation of China

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11540

Reference27 articles.

1. Maximum likelihood from incomplete data via the EM algorithm (with discussion);Dempster A. P.;Journal of the Royal Statistical Society Series B,1977

2. Distribution-Free Consistency Results in Nonparametric Discrimination and Regression Function Estimation

3. Asymptotic Properties of Non-Linear Least Squares Estimators

4. A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data

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. Quantile regression and smoothed empirical likelihood for non-ignorable missing data based on semi-parametric response models;SCIENTIA SINICA Mathematica;2024-06-01

2. Bayesian inference for nonprobability samples with nonignorable missingness;Statistical Analysis and Data Mining: The ASA Data Science Journal;2024-02

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