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中文摘要：
研究含有缺失数据的多元正态模型参数的极大似然估计问题，利用Monte Carlo EM算法求得多元正态模型参数的迭代解，并证明了此迭代解收敛到最优解，且其收敛速度是二阶的．
英文摘要：
Maximum likelihood estimations of the parameters of multivariate normal distribution models under missing data were studied. The iterative solution of the parameters of multivariate normal distribution models were obtained through the Monte Carlo EM algorithm and this solution converge to the optimum solution were proved and the convergence rate of this solution was secondary.
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