工程上，可以依据文中提供的结论定量分析威布尔分布形状参数极大似然估计量的精度。
In the practice projects, the precision of maximum likelihood estimation of Weibull shape parameter is quantitatively provided by the conclusion.
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。
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.
该方法依据极大似然原理将来自不同母体(均值相同、方差不同)的随机样本有效融合，得到新的母体均值估计量。
According to maximum likelihood theory, it fuses random samples coming from different matrix (same mean different variance) in an effective way, and gains a nwe estimator of matrix mean.
利用极大似然估计以及方向极大似然估计的概念，分别得到了双参数指数分布的参数的估计量，并证明了双参数指数分布中的两个参数满足双曲线型关。
In this paper, we used the concepts of the maximum likehood estimate and the direction maximum likehood estimate to give two kinds of estimates for two-parameter exponential distribution.
利用极大似然估计以及方向极大似然估计的概念，分别得到了双参数指数分布的参数的估计量，并证明了双参数指数分布中的两个参数满足双曲线型关。
In this paper, we used the concepts of the maximum likehood estimate and the direction maximum likehood estimate to give two kinds of estimates for two-parameter exponential distribution.
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