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- quasi likelihood estimator 拟似然估计
- the quasi likelihood estimate 拟似然估计
- Robust Statistics, Empirical Likelihood and Quasi Likelihood, Estimating Equation, Finance Statistics. 研究领域:稳健统计,经验似然和拟似然,估计方程理论,金融统计;
- We construct a quasi likelihood ratio test (LRT) for the case-only data utilizing the information of unlinked markers in the human genome. 本文应用人类基因组上不连锁的标记基因提供的连锁不平衡信息,基于病人组数据构造了一个准似然比统计量。
- 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。
- 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。
- 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。
- local linear quasi - likelihood estimation 局部线性拟似然估计
- quasi-maximum likelihood estimates 拟极大似然估计
- restricted maximum likelihood estimates 有约束的最大似然估计
- Constrained Quasi Likelihood in Nonlinear Regression Model 非线性回归模型中的约束拟似然
- 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。
- 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。
- 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);
- 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
- 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。
- 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。