| 1. | Intetval estimation of mean square error for linear statistic model
统计模型中误差方差的均方误差的区间估计 |
| 2. | The method focuses on minimizing the ensemble mean square error of the estimation
该方法可以估计的总体均方误差最小。 |
| 3. | Minimum mean squared error
最小均方差 |
| 4. | Mean square error mse
平均平方误差 |
| 5. | Mean square error
均方误差 |
| 6. | Robust mean square error is put forward to compare validity of the three estimation methods
提出了抗差均方差的概念来比较各种估计方法的有效性。 |
| 7. | Kalman filter is the best estimate under the linear and unprejudiced least mean square error rule
卡尔曼滤波是线性无偏最小方差准则下的最优估计。 |
| 8. | Using mean square error as the evaluation criterion , performance of several estimators based on capture - recapture models were evaluated
使用均方误差对几种基于捕获重捕获模型的估计器性能进行评估。 |
| 9. | To signaling with no constant modulus ( such as 16qam ) , the switch algorithm is able to achieve less residual mean square error than that of cma
该切换算法，对于非常数模信号(如16qam等) ，可以获得比常数模算法更小的剩余均方误差。 |
| 10. | The least mean square error tde method can be divided into two kinds in theory . one is the traditional method and the other is the constrained method
从算法的原理来分，最小均方误差时延估计法可以分为传统类方法和较新的约束类方法两大类。 |
