Some Theoretical and Practical Aspects of Empirical Likelihood Methods for Complex Surveys

DOI10.1111/insr.12291OpenAlexW2891328715MaRDI QIDQ6069924

Changbao Wu, Pu-Ying Zhao

Publication date: 17 November 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12291

zbMATH Keywords

estimating equationsvariable selectionhypothesis testsdesign-based inferencepseudo empirical likelihoodsample empirical likelihood

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Nonparametric inference (62Gxx) Statistical sampling theory and related topics (62Dxx)

Related Items (6)

Empirical likelihood inference and goodness-of-fit test for logistic regression model under two-phase case-control sampling ⋮ Sample Empirical Likelihood and the Design-based Oracle Variable Selection Theory ⋮ Empirical likelihood and estimating equations for survey data analysis ⋮ Pseudo empirical likelihood inference for nonprobability survey samples ⋮ Empirical likelihood inference with public-use survey data ⋮ Modelling multilevel data under complex sampling designs: an empirical likelihood approach

Cites Work

• Optimization by Simulated Annealing
• Evaluation of some approximate variance estimators under the Rao-Sampford unequal probability sampling design
• Sample surveys: inference and analysis
• Estimating the dimension of a model
• Empirical likelihood and general estimating equations
• Empirical likelihood inference in the presence of measurement error
• Empirical likelihood inference under stratified random sampling using auxiliary population information
• Penalized empirical likelihood and growing dimensional general estimating equations
• Penalized high-dimensional empirical likelihood
• On the Variances of Asymptotically Normal Estimators from Complex Surveys
• Pseudo-empirical likelihood ratio confidence intervals for complex surveys
• Empirical likelihood ratio confidence intervals for a single functional
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys
• Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
• Empirical Likelihood Confidence Intervals for Complex Sampling Designs
• Modelling complex survey data with population level information: an empirical likelihood approach
• A new estimation theory for sample surveys
• A Simplex Method for Function Minimization
• Sampling with Unequal Probabilities and without Replacement
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Some Theoretical and Practical Aspects of Empirical Likelihood Methods for Complex Surveys