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- W2556972765 abstract "SYNOPTIC ABSTRACTIn this article, we consider the distributions of the Hotelling’s T2-type test statistics for mean vectors when each dataset has a monotone missing data pattern. We give the approximate upper percentiles of the simplified Hotelling’s T2-type statistics in the case of data with k-step monotone missing data patterns. We also consider multivariate multiple comparisons for mean vectors with k-step monotone missing data. Approximate simultaneous confidence intervals for pairwise comparisons among mean vectors and comparisons with a control are obtained using Bonferroni’s approximation procedure. Finally, the accuracy and asymptotic behavior of the approximations are investigated by Monte Carlo simulation." @default.
- W2556972765 created "2016-11-30" @default.
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- W2556972765 date "2016-11-11" @default.
- W2556972765 modified "2023-09-23" @default.
- W2556972765 title "Tests for Normal Mean Vectors with Monotone Incomplete Data" @default.
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- W2556972765 doi "https://doi.org/10.1080/01966324.2016.1236712" @default.
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