我们还将尝试改进逐路径估计量,以求减小标准误差。
We also try to improve pathwise estimator in order to reduce standard error.
在误差为AR(1)时间序列的情形下,给出了半参数回归模型的拟极大似然估计方程,并研究了拟极大似然估计量的存在性。
When errors is a ar (1) time series, we studied the quasi-likelihood equation for the semiparametric model, and investigated the existence of quasi-maximum likelihood estimators.
这种方法对反射系数的估计量具有最小误差方差的性质。
The estimator got from this algorithm has the smallest variance of error among all linear estimators of reflection coefficients.
对有限总体在不放回抽样的方法下,构造了一类非线性回归估计量,讨论了它的性质及其有关抽样误差.。
A kind of nonlinear regression estimator for limited Population is given and the quality and the sampling variance about is discussed.
给出了分子已知情况下比率估计量的偏差和均方误差以及均方误差的估计,并对两类比率估计量进行了比较。
In this paper, the bias of the ratio estimator and the estimate of mean square errors of this estimator with known numerator have been compared and discussed.
研究结果表明,随着样本数的增大,估计量的均方误差趋于0,传输态的保真度趋于1。
The results show that mean square error of the estimation tends to 0 and the fidelity of the transmission state tends to 1 with the increase in the number of the sample.
给出了二阶比估计量的偏差、估计量的均方误差以及均方误差的估计。
For the ratio estimate in two-stage sampling, the bias and mean square errors(MES) of the estimater value have been obtained, and the estimater value of the MSE has been given.
分析了反映P SN曲线统计精度的主要指标,提出了P S N曲线参数估计量的均方误差计算机模拟求法。
Main characteristics of statistical accuracy for P-S-N curves are analyzed and the method for mean square error of P-S-N curves parameters by computer simulation is brought forward.
主滤波器(全局滤波器)进行子滤波器的公共状态矢量融合和时间更新,输出可靠、准确的导航参数误差的全局最优估计量。
Primary filter accomplishes the fusion of public state vectors about sub filters and time updating, and outputs the credible, precise and optimal estimation of navigation parameter error.
主滤波器(全局滤波器)进行子滤波器的公共状态矢量融合和时间更新,输出可靠、准确的导航参数误差的全局最优估计量。
Primary filter accomplishes the fusion of public state vectors about sub filters and time updating, and outputs the credible, precise and optimal estimation of navigation parameter error.
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