Finite-sample inference with monotone incomplete multivariate normal data. I.
DOI10.1016/j.jmva.2009.05.003zbMath1171.62038OpenAlexW2127749655MaRDI QIDQ842908
Wan-Ying Chang, Donald St. P. Richards
Publication date: 28 September 2009
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2009.05.003
maximum likelihood estimationWishart distributionsimultaneous confidence intervalsmissing completely at randomellipsoidal confidence regionsHotelling's \(T^{2}\)-statisticmatrix F-distributionmultivariate Esseen inequality
Multivariate distribution of statistics (62H10) Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20)
Related Items (17)
Cites Work
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- Multivariate tests with incomplete data
- Finite-sample inference with monotone incomplete multivariate normal data. I.
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- Power of the likelihood ratio test on the mean vector of the multivariate normal distribution with missing observations
- An Esseen-type inequality for probability density functions, with an application
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