使用组合方法获得了稳定的结果和较大的方差减缩。
Stable results and high variance reduction using the compound method have been obtained.
进而得出每种假设角色的平均值，方差及标准差验证该假设角色的存在性、出现频率的稳定性以及对各个片断的影响程度。
Furthermore, the average, variance and standard deviation are processed to testify the existence, occurrence stability and influence of each hypothetical role.
这种方法采用直接估计增益K，避免了求解系统噪声方差阵q和量测噪声方差阵r，使系统的稳定性增强。
This method estimates filter gain matrix K directly, avoids calculating system noise covariance matrix Q and measure noise covariance matrix r, it improves stability of the system.
在需求比较稳定，有恒定的均值，较小的方差且产品回流率较小时，回流产品非常稳定。
On the occasion of invariant mean and lower variance of demand as well as lower product return rate, the amount of product return is very stable.
研究一类随机系统具有期望的动态误差系数、稳态输出方差和相对稳定裕度约束的满意PID控制问题。
The problem of satisfactory PID control for a class of stochastic systems with constraints on dynamic error coefficient, steady-state output variance and relative stability margin is considered.
本文对基于互协方差的航迹融合算法进行了仿真分析，并对航迹融合模型的稳定性进行了探讨。
The simulation and analysis on algorithm of multisensor track-to-track fusion is based on cross-variance functions, and analysis of the stability to model is presented.
在开展考核试验工作的基础上，通过方差计算，给出了一种判定O形圈工艺稳定性的方法。
A variance calculation of test data is made and a criterion of O-ring process techniques stabilization is given.
在保证算法在线性最小方差意义下为最优的同时，具有很好的数值稳定性和鲁棒性。
It is optimal in the sense of linear minimum-variance and has excellent numerical stability.
用SPSS10.0统计软件作方差分析，比较各组的肩关节稳定性。
Conduct a ANOVA analysis using statistics software SPSS10.0 to compare stability of each group of shoulder joint.
方差分析和交叉验证表明，该模型具有好的显著性和稳定性。
The variance analysis and cross_validation indicate that this model is notable and steady.
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.
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