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- 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);
- 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
- 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。
- Some of optimal bandwidths used depends on detection function, some do not rely on detection function, still use classic ground Maximum likelihood estimate. 使用的最佳带幅宽有的依赖于探知函数,有的不依赖探知函数,还用到经典的最大似然估计法。
- Therefore, maximum a posteriori estimates can be regarded as regularization (regularization) of the maximum likelihood estimate. 所以最大后验估计可以看作是规则化(regularization)的最大似然估计。
- The parameters in the model are estimated by the MLE (maximum likelihood estimate).Then, the confidence density of the failure rate can be obtained. 并以逆幂率模型为例,给出了模型参数的极大似然估计,进而求出可靠度的置信下限。
- 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。
- Least square maximum likelihood estimate 最小平方极大似然估计值
- 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。
- 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。
- Maximum Likelihood Estimate (MLE) 最大似然估计
- Bayes maximum likelihood estimate 贝叶斯极大似然估计
- maximum likelihood estimate sampling 极大似然抽样
- 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.
- For the two-component Gaussian mixture, it is hard to work out the maximum likelihood estimates (MLEs) and hence difficulty in the influence analysis. 摘要对于两高斯混合分布,很难求参数的极大似然估计,当然也不便于影响分析。
- Rationality about the quantitative parameters of the functions was verified by using the maximum likelihood estimation (MLE). 应用极大似然方法,验证了风量分布函数量化参数值的合理性;
- 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(MLE),似然比检验统计量及其渐近分布等结果。
- In the practice projects, the precision of maximum likelihood estimation of Weibull shape parameter is quantitatively provided by the conclusion. 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。
- modified maximum likelihood estimate 修正极大似然估计