Characterization of dependence concepts in normal distributions
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Summary
In the present paper we deal with the characterization of some dependence concepts for the multivariate normal distribution. It turns out that normal distributions have some special properties w.r.t. these dependence concepts and, furthermore, that the characterizations are closely connected to some interesting problems on matrices. Some applications to simultaneous confidence bounds are discussed.
Keywords
Convex Cone Multivariate Normal Distribution Nonnegative Matrice Dependence Concept Monotone Likelihood Ratio
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References
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