A resampling approach to estimate variance components of multilevel models

DOI10.1002/cjs.10136zbMath1236.62004OpenAlexW1974232043MaRDI QIDQ3225775

Mary E. Thompson, Zilin Wang

Publication date: 22 March 2012

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.10136

zbMATH Keywords

complex surveysmultilevel modelbootstrapping2000 Canadian workplace and employee survey

Mathematics Subject Classification ID

Related Items (1)

A survey of bootstrap methods in finite population sampling

Cites Work

• Unnamed Item
• Asymptotic normality and the bootstrap in stratified sampling
• Bootstrap methods: another look at the jackknife
• Multi-level modelling under informative sampling
• On the Variances of Asymptotically Normal Estimators from Complex Surveys
• Resampling Inference With Complex Survey Data
• A Resampling Procedure for Complex Survey Data
• Weighting for Unequal Selection Probabilities in Multilevel Models
• Bootstrap Methods for Finite Populations
• Estimating Variance Components by Using Survey Data
• A Pseudo Maximum Likelihood Approach to Multilevel Modelling of Survey Data
• General Multi-Level Modeling with Sampling Weights

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