Combining quasi and empirical likelihoods in generalized linear models with missing responses

DOI10.1016/J.JMVA.2012.05.008zbMath1281.62164OpenAlexW1970709780MaRDI QIDQ444951

Xiaohui Yuan, Tianqing Liu

Publication date: 24 August 2012

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2012.05.008

zbMATH Keywords

auxiliary informationgeneralized linear modelsWilks' theoremcombined quasi and empirical likelihoodmissing responses

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric hypothesis testing (62G10) Parametric inference under constraints (62F30) Generalized linear models (logistic models) (62J12)

Related Items (3)

Weighted quantile regression with missing covariates using empirical likelihood ⋮ Empirical likelihood-based weighted rank regression with missing covariates ⋮ Weighted empirical likelihood for quantile regression with non ignorable missing covariates

Cites Work

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