Abstract:
The concept of a matrix cone in $\mathbb{R}^{p}_{n}$ is introduced and its basic properties are studied. Based on this concept, the problem of testing conic hypotheses in a multivariate Gaussian analysis is considered. This problem generalizes the corresponding univariate analogues. The distribution of the critical test is obtained under the hypothesis.
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