<ul><li>Researchers have developed a powerful rank verification method for multivariate Gaussian data with any covariance structure.</li><li>The method leverages tools from selective inference to make inferences about the largest K means.</li><li>It is shown that the developed procedure draws the desired inference when the two-sided difference-of-means test rejects.</li><li>The method is considered inadmissible for simultaneous inference approaches when n > 2.</li></ul>

Powerful rank verification for multivariate Gaussian data with any covariance structure

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