A new selecting weight iteration method is presented. It USES LTS robust estimate to ascertain the initial residuals value.
提出先用LTS稳健估计来确定残差的初值，然后再进行选权迭代方法。
Presents a robust estimate for the linear regression of sensor output characteristic based on the robustness of least absolute deviation estimate.
利用最小一乘估计的稳健性，给出了传感器输出特征线性化的特征直线的稳健估计。
Wavelet - based method is proposed to estimate fractal dimension. It is shown in theory and in experiment that the new method is simple to implement and robust to noises.
本文提出了分形维数估计的子波函数方法。理论和计算机模拟实验表明，新方法不仅实现简单，而且具有较强的噪声抑制能力。
Robust time delay estimation method based on least mean p-norm blind channel identification(BCILMP) was proposed and applied to estimate the propagation velocities of GEA.
根据分数低阶统计量理论，本研究提出一种基于最小平均p范数盲信道辨识的韧性时间延迟估计算法（BCILMP），对胃电信号传导速率进行估计。
Finally, we obtained three robust biased model fitting methods which were called as robust principal component estimate, robust ridge estimate and robust root-root estimate respectively.
三种方法分别是稳健主成分估计、稳健岭估计和稳健根方估计。
It has demonstrated that, toward the measured data which have some errors or can't be simulated by the model, this approach is robust to estimate the parameters.
结果显示，针对具有一定误差或模型不能完全表示的观测数据，本文采用的分阶段方法可以对模型参数鲁棒地反演。
Through robust statistics, put forward a robust estimation algorithm to estimate measuring results and error.
通过鲁棒统计，提出了一个鲁棒估计算法处理测量结果和误差。
The current paper employed polychoric correlation coefficient to analyze teaching evaluation data, which has been proved robust and will offer more precise estimate.
在分析教学评价这样的有序分类数据时，多分格相关被认为比传统皮尔逊相关给出的估计值更为可靠和准确。
The robust M-estimate of the unknown function is proposed by local linear method, and the robust M-estimate of the unknown parameter by tow step method.
用局部线性方法给出未知函数的M-估计，用两步估计方法给出参数的M-估计。
The weak consistence and the asymptotic normality of the robust M-estimate of the unknown function are given, and the weak consistence of the robust M-estimate of the unknown parameter is established.
进一步证明了未知函数的M-估计的弱一致性和渐近正态性，参数的M-估计的弱一致性。
The weak consistence and the asymptotic normality of the robust M-estimate of the unknown function are given, and the weak consistence of the robust M-estimate of the unknown parameter is established.
进一步证明了未知函数的M-估计的弱一致性和渐近正态性，参数的M-估计的弱一致性。
应用推荐