Testing lattice conditional independence models based on monotone missing data.

DOI10.1016/S0167-7152(00)00098-5zbMath1179.62067MaRDI QIDQ1590566

Lang Wu, Michael D. Perlman

Publication date: 21 December 2000

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (3)

The Stein phenomenon for monotone incomplete multivariate normal data ⋮ Statistical inference for location and scale of elliptically contoured models with monotone missing data ⋮ Efficiency of lattice conditional independence models for multinormal samples with non-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
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Characterizing the Estimation of Parameters in Incomplete-Data Problems
• Efficiency of lattice conditional independence models for multinormal samples with non-monotone missing data

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