A Pseudo Maximum Likelihood Approach to Multilevel Modelling of Survey Data

DOI10.1081/STA-120017802zbMath1029.62011MaRDI QIDQ4795555

Milorad S. Kovačević, Shesh N. Rai

Publication date: 24 February 2003

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

zbMATH Keywords

weightingprobability samplingvariance components estimationhierarchical linear modelling

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Sampling theory, sample surveys (62D05)

Related Items

Evaluation of Conditional Weight Approximations for Two-Level Models ⋮ A resampling approach to estimate variance components of multilevel models ⋮ General Multi-Level Modeling with Sampling Weights ⋮ Modelling multilevel data under complex sampling designs: an empirical likelihood approach

Cites Work

• Unnamed Item
• On the Variances of Asymptotically Normal Estimators from Complex Surveys
• Pseudo Maximum Likelihood Methods: Theory
• Weighting for Unequal Selection Probabilities in Multilevel Models

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