Empirical likelihood inference for mean functionals with nonignorably missing response data

Hui Zhao; Puying Zhao; Niansheng Tang

doi:10.1016/j.csda.2013.03.023

ScienceGate Book Chapters

JOURNAL ARTICLE

Empirical likelihood inference for mean functionals with nonignorably missing response data

Hui Zhao Puying Zhao Niansheng Tang

Year: 2013 Journal: Computational Statistics & Data Analysis Vol: 66 Pages: 101-116 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2013.03.023

Get Full-Text PDF Get Analytical Report

Keywords:

Estimator Inference Empirical likelihood Mathematics Missing data Confidence interval Statistics Applied mathematics Computer science Artificial intelligence

Metrics

Cited By

2.96

FWCI (Field Weighted Citation Impact)

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Empirical likelihood inference for mean functionals with nonignorably missing response data

Metrics

Citation History

Topics

Related Documents

Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random

Empirical likelihood for estimating equations with nonignorably missing data

Empirical likelihood for estimating equations with nonignorably missing data

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

Estimating Equations with Nonignorably Missing Response Data