Efficiency of lattice conditional independence models for multinormal samples with non-monotone missing data

DOI10.1080/03610910008813623zbMath0968.62523OpenAlexW1995631260MaRDI QIDQ4490170

Michael D. Perlman, Lang Wu

Publication date: 10 July 2000

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910008813623

Mathematics Subject Classification ID

Multivariate analysis (62H99) Monte Carlo methods (65C05)

Related Items (1)

Testing lattice conditional independence models based on monotone missing data.

Cites Work

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• Lattice-ordered conditional independence models for missing data
• Lattice models for conditional independence in a multivariate normal distribution
• Testing lattice conditional independence models based on monotone missing data.
• Testing lattice conditional independence models
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Characterizing the Estimation of Parameters in Incomplete-Data Problems
• Some model-restricted shrinkage estimators for contingency tables with missing data.

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