Likelihood-based imputation inference for mean functionals in the presence of missing responses

DOI10.1007/BF02530533zbMath1057.62025MaRDI QIDQ1768091

Qi Hua Wang

Publication date: 14 March 2005

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

zbMATH Keywords

asymptotic efficiencymissing responseresampling imputation

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Point estimation (62F10)

Related Items (3)

Estimating linear functionals in nonlinear regression with responses missing at random ⋮ Combining quasi and empirical likelihoods in generalized linear models with missing responses ⋮ Empirical likelihood for partially linear single-index models with missing observations

Cites Work

• Empirical likelihood ratio confidence regions
• Empirical likelihood-based inference under imputation for missing response data
• Empirical likelihood ratio confidence intervals for a single functional
• Nonparametric Estimation of Mean Functionals with Data Missing at Random
• Combining Micro and Macro Data in Microeconometric Models
• Empirical Likelihood-based Inference in Linear Models with Missing Data
• Empirical likelihood for linear regression models under imputation for missing responses
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