Applying the result of expectations of non-negative random variables, inequalities for the one-sided and two-sided rectangular probabilities of higher-dimensional multivariate normal and multivariate t distributions are obtained. It is shown that their k-dimensional rectangular probabilities is lower bounded by the (k/m)th power of their m-dimensional rectangular probabilities for every k≥ m ≥ 1, and this bound is quite good when k/m is close to one. Applications to multiple decision problems are considered.
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Yung Liang Tong (1970) studied this question.
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