The tendency check, goodness of fit check, maximumlikelihoodestimates (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。
2
Simulation results show that the maximumlikelihoodestimates 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。
3
In this paper we discuss the convergence of the EM algorithm for iterative computation of maximumlikelihoodestimates when the observations can be viewed as incomplete data.