Testing equality of two normal covariance matrices with monotone missing data

DOI10.1080/03610926.2019.1591453OpenAlexW2948660877MaRDI QIDQ5077470

Jianqi Yu, Yafei He, K. Krishnamoorthy

Publication date: 18 May 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2019.1591453

zbMATH Keywords

likelihood ratio testmissing datamaximum likelihood estimatorspowersmonotone patternsizes

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15) Statistics (62-XX)

Related Items (1)

Effect of nonnormality on tests for a mean vector with missing data under an elliptically contoured pattern-mixture model

Cites Work

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• Confidence estimation of a normal mean vector with incomplete data
• Power of the likelihood ratio test on the mean vector of the multivariate normal distribution with missing observations
• Inferences on a normal covariance matrix and generalized variance with monotone missing data

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