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- In the situation that sample size is odd, the sample median, as the maximum likelihood estimator of location parameter, is proved to be unbiased and strongly consistent. 在样本容量为奇数的情形，证明了样本中位数作为双参数对称指数分布位置参数的极大似然估计，具有无偏性与强相合性；
- The definition of the maximum likelihood estimator with the prior information (PMLE) is given in this paper, and the consistency and asymptotic normality of PMLE are proved. 摘要定义了有先验信息的极大似然估计，它能够充分利用参数的先验信息，还具有正规条件下的相合性和渐近正态性。
- partial information maximum likelihood estimator 部分信息极大似然估计量
- Full information maximum likelihood estimator 完全信息极大似然估计量
- linearized maximum likelihood estimator 线性化极大似然估计量
- the maximum likelihood estimator 极大似然估计
- 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。
- maximum likelihood estimator(MLE) 最大似然估计
- quasi- maximum likelihood estimator 拟极大似然估计量
- Sieve maximum likelihood estimator Sieve极大似然估计
- the second Maximum Likelihood Estimator(ML-II) 第二类极大似然估计
- Empirical Bayes estimation (EBE) and maximum likelihood estimation (MLE) of reliability index are given, respectively. 分别给出了系统可靠性指标的经验 Bayes 估计,极大似然估计。
- The maximum likelihood estimates (MLEs) of the model are computed with the EM algorithm. 本文将其中一个扰动变量视为缺失数据，利用EM算法得到模型参数的极大似然估计。
- Parameters of AR PSD Model can be obtained by maximum likelihood estimate (MLE). AR模型参数估计可以使用最大似然估计法(MLE)；
- modified maximum likelihood estimator 修正极大似然估计（MMLE）
- An improved maximum likelihood estimation method named AMLE was proposed in this paper. 其根本原因是没有考虑每个点对固有维数的不同贡献。
- Isotonic Regression,order restriction,restricted maximum likelihood estimate,iteration method,constraint optimization. 01保序回归,半序约束,约束最大似然估计,迭代方法,约束最优化
- approximated maximum likelihood estimator 近似最大似然估计
- Using Cram?r some techniques,obtained the result on moderate deviations for the maximum likelihood estimators under random censorship. 在一些正则性条件下、利用Cram?r方法的某些技巧得到了在随机删失数据下极大似然估计的中偏差.
- They are weak consistency, strong consistencyand asymptotic normality of the maximum likelihood estimate (MLE) of the para-meters. 本文主要从参数的极大似然估计的弱相合性、强相合性及渐近正态性等方面研究了广义线性模型的大样本性质。
