The estimator got from this algorithm has the smallest variance of error among all linear estimators of reflection coefficients.
这种方法对反射系数的估计量具有最小误差方差的性质。
Kalman filter is a linear minimum variance state estimator, and it combined array antenna and multiuser detection effectively.
卡尔曼滤波是一种线性最小方差状态估计，把它有效地结合阵列天线与多用户检测。
In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.
然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。
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.
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。
The discussion includes linear regulator, state estimator, observer for a linear functional of state, and linear quadratic control with incomplete or noisy measurements.
讨论的问题包括线性调节器，状态估计器，状态线性函数观测器，及不完全或有噪声测量的线性二次控制。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
When multiple outliers occur in linear regression model or the distribution of residuals is not normal, we can use residuals rank as weight function to get some resist estimator.
线性回归模型的误差项不服从正态分布或存在多个离群点时，可以将残差秩次的某些函数作为权重引入估计模型来减少离群点的不良影响。
Except the Analysis of Variance Estimator, these approaches all need to solve a non-linear equation, which does not have explicit solution, and only has an iteration solution in general.
除了方差分析法外，他们都需要解一个非线性方程组，一般都没有显式解，只能获得迭代解。
When the air-gap flux of the induction motor is saturated, the conventional adaptive speed estimator cannot avoid the influence of the non-linear inductance variation.
当交流电机气隙磁通发生饱和时，常规的自适应速度估算法无法避免由于电感量的非线性变化带来的影响。
CMAC estimator is trained with a linear model, then the centroid and attitude are predicted.
CMAC估计器先用线性模型进行训练，然后预测目标的质心和姿态。
In the present paper, We give the necessary and sufficient conditions for which the minimum variance linear unbiased estimator reduces to the least square in multivariate linear models.
本文讨论回归方程组系数的估计，给出最小二乘估计是有效估计的条件。
In the present paper, We give the necessary and sufficient conditions for which the minimum variance linear unbiased estimator reduces to the least square in multivariate linear models.
本文讨论回归方程组系数的估计，给出最小二乘估计是有效估计的条件。
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