On Hotelling’s T2 test in a special paired sample case

Ludwig Baringhaus and Daniel Gaigall

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 2, 257-267

Abstract: In a special paired sample case, Hotelling’s T2 test based on the differences of the paired random vectors is the likelihood ratio test for testing the hypothesis that the paired random vectors have the same mean; with respect to a special group of affine linear transformations it is the uniformly most powerful invariant test for the general alternative of a difference in mean. We present an elementary straightforward proof of this result. The likelihood ratio test for testing the hypothesis that the covariance structure is of the assumed special form is derived and discussed. Applications to real data are given.

Date: 2019
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DOI: 10.1080/03610926.2017.1408828

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