Likelihood ratio test for independence with partial multivariate normal data

DOI10.1080/03610928808829712zbMath0644.62062OpenAlexW2006546049MaRDI QIDQ3787308

Serge B. Provost

Publication date: 1988

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

Full work available at URL: https://doi.org/10.1080/03610928808829712

zbMATH Keywords

likelihood ratio statisticmultivariate normal distributiontesting independenceincomplete multivariate dataindependence of subvectors

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15)

Cites Work

• Unnamed Item
• Multivariate tests with incomplete data
• Some one-sample hypothesis testing problems when there is a monotone sample from a multivariate normal population
• Multiple Regression with Missing Observations among the Independent Variables
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Inadmissibility of the maximum likelihood estimator for a multivariate normal distribution when some observations are missing
• Multivariate data with missing observations
• Inference and missing data
• Inference about means from incomplete multivariate data
• Moments and Distributions of Estimates of Population Parameters from Fragmentary Samples
• Maximum Likelihood Estimation with Incomplete Multivariate Data
• Sampling distributions under missing values
• Missing Observations in Multivariate Statistics. III: Large Sample Analysis of Simple Linear Regression
• Estimation of Parameters from Incomplete Data

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