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Showing 1 to 1 of 1 for “"Behrens-Fisher problem, MANOVA, linear hypothesis, high-dimensional data"”.

  1. LINEAR HYPOTHESIS TESTING FOR HIGH-DIMENSIONAL DATA UNDER HETEROSCEDASTICITY

    The Behrens-Fisher problem is one of the most fundamental problems in Statistics. In this thesis, we mainly consider three high-dimensional hypothesis testing problems: the two-sample Behrens-Fisher problem, the heteroscedastic one-way MANOVA, and the general linear hypothesis under …

    nus Repository record for LINEAR HYPOTHESIS TESTING FOR HIGH-DIMENSIONAL DATA UNDER HETEROSCEDASTICITY (opens in a new tab)