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• The maximum likelihood estimator for population average treatment effect is proved to be consistent, unbiased and asymptotically normal.

并且证明了正态分布的假设下，该总体平均因果效应极大似然估计相合无偏且渐近正态的。

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• Under the normal distribution, the maximum likelihood estimator for the population parameter is proved to be unbiased and asymptotically normal.

证明了此统计量渐近正的，并利用蒙特卡罗方法统计量渐进分布统计模拟。

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• By employing the concept of statistical curvatures, the information loss of the maximum likelihood estimator and the generalized least squares estimator is investigated.

利用统计曲率概念研究结构方程模型的最大似然估计广义最小二乘估计量信息损失，得到了简明的结果。

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• Simulation results showed that under conditions of small arc length and high noise, which often occur in practice, the approximate maximum likelihood estimator performs well.

模拟结果表明噪声条件这种新的估计器性能优良。

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• The Maximum Likelihood Estimator (MLE) of the parameter of interarrival distribution based on renewal process is discussed. It is obtained that the MLE converges strongly to the true parameter.

文中我们讨论了更新过程分布参数最大估计，证明了最大似估计相合的。

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• Systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, least squares estimator, DSPE, DISPARE, etc.

模型基础系统介绍了已有分布式目标参数估计方法包括最大似然最小二乘算法，DSPE和DISPARE算法

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• 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.

该方法依据极大似然原理来自不同母体(均值相同方差不同)随机样本有效融合得到新的母体均值估计量。

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• This model function is applied to NSCAT data to retrieve wind vectors, with the Maximum-Likelihood Estimator to get a set of ambiguous wind vectors and a vector filter technique to remove ambiguities.

利用模式函数NSCAT散射系数数据进行海面场反演，采用最大似然估计确定多个风矢量解，采用矢量中值滤波消除多解。

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• Maximum likelihood DOA estimator based on importance sampling (ISMLE) is proposed.

提出基于重要性抽样最大似然方位估计方法

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• Maximum likelihood DOA estimator based on importance sampling (ISMLE) is proposed.

提出基于重要性抽样最大似然方位估计方法

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