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Edgeworth expansions in sphericity testing under high-dimensional two-step monotone incomplete data and their computable error bounds
In this paper, we consider the sphericity test for a one-sample problem under high-dimensional two-step monotone incomplete data. Existing asymptotic expansions for the null distributions of the likelihood ratio test (LRT) statistic and modified LRT statistic deteriorate in high-dimensional settings
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