对应于方差参数这两种估计的回归系数的两种两步估计，它们的均方误差大致相当。
However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.
本文给出了线性模型中椭球约束下，误差方差非负二次估计可容许的一个必要条件。
This paper gives a necessary condition for the admissibility of a nonnegative, quadratic estimator for error variance in linear model with respect to restricted ellipsoidal parameter space.
在二次损失函数下，研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。
The admissibility of non-homogeneous quadratic form estimate of variance on the growth curve model was studied under quadratic loss function.
由于在估计方法中无需假定误差方差，因此，所构造的估计方法更符合实际应用情况。
Since there is no need to suppose the variance of error, the estimation method which we established is more efficient in application.
为了计算最优加权，提出了局部估计误差互协方差的计算公式。
In order to compute the optimal weights, the formula of computing the cross-covariance among local filtering errors is presented.
它们避免了计算估计误差方差阵的逆矩阵，且具有通用性。
They avoid to calculate the inverse of the estimation error variance matrices, and have the generality.
对这类模型的统计建模，人们既关心回归系数的估计，更关心误差条件方差结构中未知参数的估计。
For this kind of modeling, people care for not only the estimation of regressive coefficient but also the estimation of unknown parameters in conditional skedasticity.
详细推导了状态估计误差及其方差阵的传播模型。
Detailed propagation formula of the state estimation error and its variance matrix are derived.
详细推导了状态估计误差及其方差阵的传播模型。
The detailed propagation formula of the state estimation error and its variance matrix are derived.
为了计算最优加权，提出了局部估计误差方差阵和互协方差阵的计算公式。
In order to compute the optimal weights, the formulas of computing the local estimation error covariance and cross-covariance matrices are presented.
目的通过估计误差方差阵，对多传感器组合导航系统中不同的融合数据进行定位精度比较，为系统定位提供选择数据的依据。
Aim Using the variance matrix of estimated error, positional accuracy can be compared with different mixing together data, it has put forward a kind of basis for system location to select data.
紧接着，作者把注意力转移到线性模型误差方差的纯序贯区间估计。
After that, the author focus his attention on the pure sequential confidence for the error variance in linear models.
为了计算最优加权，提出了状态估计误差方差阵和互协方差阵的计算公式。
The formulas of computing the variance and cross-covariance matrices among local state estimation errors are presented, which are applied to compute the optimal weights.
为了计算最优加权阵，提出了局部估计误差互协方差阵的计算公式。
In order to compute the optimal weighting matrices, the formula of computing the cross-covariance matrix between local estimation errors is presented.
这种滤波器的关键是在均方意义下推导无偏转换测量误差协方差阵的最佳估计。
The key of the presented filter is to derive the best estimate of the covariance matrix of the unbiased converted measurements in the mean-square sense.
文中给出并证明了在椭球约束条件下线性模型中，误差方差的非负二次估计的可容许性问题的一个必要条件。
The paper raises and proves an essential condition of volumetric property of nonnegative secondary estimation of deviation and variance in linear model.
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.
然后，推导了任两个局部估计误差之间的互协方差阵的计算公式。
Then we derive the computation formula for the cross-covariance matrix between any two local estimators.
在二次损失函数下，研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。
We study the admissibility of the quadratic estimate for error variance in two classes of growth curve model.
在此基础上，建立了最小方差损失函数，并结合高斯·牛顿预测误差方法，提出了稳定的，高性能的，在线的复频率直接估计算法。
A cost function is presented, and by applying Gaussian-Newton type recursive prediction error based method, a stable and efficient online frequency estimation algorithm is derived.
在状态估计领域中，指标要求常直接以状态分量的估计误差方差上限的形式给出。
The motivation for this study is that in the area of state estimation, the Performance requirements are usually described in terms of the upper bounds on the error variance of state estimation.
在状态估计领域中，指标要求常直接以状态分量的估计误差方差上限的形式给出。
The motivation for this study is that in the area of state estimation, the Performance requirements are usually described in terms of the upper bounds on the error variance of state estimation.
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