Consistent uniformly asymptotically normal estimator

Under some conditions, we get consistent property of this estimator and its asymptotic distribution.

在一些条件下，我们建立了该估计的相合性质和渐近分布性质。

This paper studies the relationship between DEA and maxium likelihood estimator. It is proved that under certain conditions, DEA is shown to be maximum likelihood estimator. It is also proved that DEA is a biased as well as a consistent estimator.

本文研究了数据包络分析（DEA）方法与极大似然估计的关系，证明了一定条件下，DEA为极大似然估计，并且是一个有偏一致估计。

At first, scholars discussed the property of recursive kernel density estimator under the independent and identical distribution sequences, they obtained the corresponding results.

关于递归型密度函数核估计的性质，人们最初是在独立同分布情形下研究的，并取得了相应的结果。

In this paper, we study a recursive kernel distribution estimator of unknown distribution function F ( x) for negatively associated samples.

在NA相依样本条件下，对未知分布函数F（x）的递归核估计进行研究。

Application of the Extented Forgetting Factor Recursive Least Squares Estimator to GPS

推广的遗忘因子递推最小二乘算法在GPS中的应用

A Recursive Distribution Function Estimator Under NA Samples One of Distributed Recursive Queries Based on XML

负相协样本分布函数的递归型核估计基于XML的分布式数据库递归查询优化

This paper presents a multivariable bilinear adaptive decoupling control algorithm, which employs a modified recursive least-squares estimator, and analyses its convergence and stability.

本文对一类多变量双线性系统，用修改最小二乘辨识方法，建立了自适应解耦控制算法，分析了该算法的收敛性和稳定性。

Strong Consistency of Regression Function Recursive Kernel Estimator under Negatively Associated Samples

NA样本回归函数递归型估计的强相合性

The famous Kalman filtering algorithm is the best bayesian recursive estimator for solving linear Gaussian for more than 40 years.

著名的卡尔曼滤波算法从四十多年前被提出以来一直是用来解决线性高斯环境的最佳递推贝叶斯估计器。

Method of least squares and minimum linear variance unbiased estimator are applied to detailed procedures with practical examples;

结合具体事例介绍了利用最小二乘法和最小方差线性不偏估量法进行设备寿命预测的具体步骤；

In the verification, the proposed best linear unbiased estimator is utilized as the frequency synchronization algorithm.

在验证中，频率同步技术采用所提出的最佳线性无偏估计器。

Conditional Best Linear Unbiased Estimator for Multivariate Curvilinear Models

多元曲线模型的条件最好线性无偏估计

A class of unbiased estimator of variogram is obtained in this paper.

本文给出了VARIOGRAM的一个无偏估计类。

An unbiased estimator can be acquired through high order moments of received data.

利用基带数据的高阶矩特性，可以获得渐近无偏估计。

And others discussed the best linear unbiased estimator for the logistic population.

等又先后讨论了Logistlic分布参数的最佳线性无偏估计及估计的相对效率等问题。

Best Linear Unbiased Estimator of Accelerated Life Test Under Weibull Distribution

Weibull分布场合恒定应力加速寿命试验的最优线性无偏估计

Based on an M-estimation principle, a robust estimator of parameters of systematic errors model is introduced in every surveying line.

基于抗差估计理论，讨论了航空重力测量系统误差模型参数的抗差M估计方法与实现。

Robust Estimator for 3D Meshes Filtering

鲁棒估计器在3D网格降噪中的应用

The robust estimator for strain parameters as well as the influence function of observation errors to solutions is derived and formulated.

推导了应变参数的抗差估计解式，以及观测误差对各类解的误差影响函数。

M estimation is a kind of robust estimator which is used widely in signal filtering.

M估计器是一种广泛应用于信号滤波的稳健性估计器。