The model parameters were estimated by a maximum likelihood algorithm, which maximizes the likelihood of the observed data.
采用最大似然估计算法，对模型中的隐含参数进行了估计。
The maximum likelihood estimators(MLE) of means and standard deviations, and the asymptotic distribution of likelihood ratio statistic were given.
给出了正态总体均值和标准差的最大似然估计（M LE），似然比检验统计量及其渐近分布等结果。
When errors is a ar (1) time series, we studied the quasi-likelihood equation for the semiparametric model, and investigated the existence of quasi-maximum likelihood estimators.
在误差为AR(1)时间序列的情形下，给出了半参数回归模型的拟极大似然估计方程，并研究了拟极大似然估计量的存在性。
Meanwhile, when there no trap happens, a new adaptive stopping rule for CVA is proposed which is based on comparing the maximum likelihood path with the best maximum likelihood tail-biting path.
在没有循环陷阱产生的情况下，新算法比较当前迭代中最大似然路径和已经发现的最优咬尾路径是否相同来自适应终止迭代。
By maximum likelihood estimation, the likelihood probability of estimating Doppler frequency is maximized.
在时间域考虑了测量噪声，使得多普勒频率估计的似然概率达到最大。
The maximum likelihood estimators(MLE) of means and standard deviations and the asymptotic distribution of likelihood ratio statistic are given.
根据截尾均值、平尾均值的定义和截尾正态分布，本文得到了这两种均值都是最或然估计量。
The maximum likelihood estimators(MLE) of means and standard deviations and the asymptotic distribution of likelihood ratio statistic are given.
根据截尾均值、平尾均值的定义和截尾正态分布，本文得到了这两种均值都是最或然估计量。
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