Throught the multivariate exponential distribution model built, it even reflects the advantage of depiction dependence.

通过建立的多维指数分布模型，进一步体现了这种刻画相依性方式的优越性。

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Then it can establish the estimators of means and covariance matrix of the multivariate normal distribution, and estimate their confidence limits and intervals in each state.

文中详细讨论了多个状态下二元正态分布均值和方差的无偏估计和置信区间估计。

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We also proved that the class of the multivariate exponential distribution is closed under weak convergence.

并证明了多维指数分布类在弱收敛下的。

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We also proved that the class of the multivariate exponential distribution is closed under weak convergence.

并证明了多维指数分布类在弱收敛下的。

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