A weighted Jackknife method for clustered data

DOI10.1080/03610926.2018.1440597OpenAlexW2789777156WikidataQ130171586 ScholiaQ130171586MaRDI QIDQ5078389

Ruofei du, Ji-Hyun Lee

Publication date: 23 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1440597

zbMATH Keywords

heterogeneityclustered datafew clustersweighted delete-one-cluster Jackknife

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SASmixed

Cites Work

• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• A Covariance Estimator for GEE with Improved Small‐Sample Properties
• Robust inferences from random clustered samples: an application using data from the panel study of income dynamics.
• Jackknifing in Unbalanced Situations
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood

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