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maximum likelihood estimation
最大似然估计:一种统计方法
常用释义
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基本释义
  • 最大似然估计:一种统计方法,用于根据已知的观测数据来估计未知参数的值。该方法基于最大化观测数据出现的概率,假设观测数据是独立同分布的。
例句
  • 1·And then the model parameters are estimated by means of MLE (maximum likelihood estimation).
    其次运用极大似然估计方法对模型的参数进行标定。
  • 2·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。
  • 3·Firstly, we introduce the theory of finite mixture model and EM algorithm for maximum likelihood estimation.
    首先,介绍了有限混合模型理论及应用EM算法求解极大似然估计。
  • 4·The marginal densities of single-factor interest rate models can be obtained by maximum likelihood estimation.
    由极大似然估计可以得到单因子利率模型的边际密度函数。
  • 5·Six proposed models were assessed using the maximum likelihood estimation, which is implemented by LISREL 8.3.
    六个假设模式以最大概似法来加以检定评估,所使用的电脑软体为LISREL 8.3。
  • 6·This paper proposes a new approach for intrinsic dimension estimation based on MLE (Maximum Likelihood estimation).
    本文提出一种新的方法——基于MLE算法的本征维数估计算法。
  • 7·There are many methods to deal with measuring data in survival analysis. Maximum likelihood estimation is the most popular one.
    处理生存分析观测数据使用的参数估计方法有很多,极大似然估计法是最常见的一种估计方法。
  • 8·And the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability.
    证明了一个分类网络的测试集正确率是该网络推广能力的极大似然估计;
  • 9·By using the maximum likelihood estimation method, the unknown parameters in the lifetime and repair time distribution are solved.
    通过应用极大似然估计方法,解决了产品寿命和维修时间分布中未知参数估计的问题。
  • 10·The simulation indicates that the condition moment estimation is more accurate than the convergence maximum likelihood estimation.
    数值模拟表明条件矩估计优于渐进极大似然估计。