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- the quasi likelihood estimate 拟似然估计
- quasi likelihood estimator 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。
- 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。
- local linear quasi - likelihood estimation 局部线性拟似然估计
- 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。
- 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。
- 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
- 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.