The tendency check, goodness of fit check, maximum likelihood estimates (MLE) of the parameters and MTBF for AMSAA model are presented.
给出了趋势检验、AMSAA模型的拟合优度检验及模型参数的极大似然估计方法。
Simulation results show that the maximum likelihood estimates perform well in most cases in terms of the mean bias, errors in the root mean square and the coverage rate.
最后在模拟测试之下，利用最大概似估计法求得各参数的误差、均方根误差、参数之上下界限以及涵盖。
In this paper we discuss the convergence of the EM algorithm for iterative computation of maximum likelihood estimates when the observations can be viewed as incomplete data.
本文讨论EM算法的收敛性，其中EM算法是不完全数据处理中的一类重要的参数估计的迭代算法。
The paper estimates both the static and dynamic versions of the model by using simulated maximum likelihood techniques.
文章使用模拟最大似然值方法估计了静态与动态模型。
The paper estimates both the static and dynamic versions of the model by using simulated maximum likelihood techniques.
文章使用模拟最大似然值方法估计了静态与动态模型。
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