结果模拟及实例分析可见稳健估计的结果较好。
Results The results of robust estimation are better in the simulation and example analysis.
首次提出一种迭代求取形状参数稳健估计的算法。
The iteration algorithm to estimate shape parameter is first present.
首次提出了一种迭代求取形状参数稳健估计的算法。
The iteration algorithm to estimate shape parameter was first presented.
近年来，稳健估计在洪水频率分析中的应用已被提出。
Robust estimation has been applied in flood frequency analysis.
他们也可能会要求进行分类数据分析，稳健估计或生存分析。
They may also be asked to conduct categorical data analysis, robust estimation or survival analysis.
结论在离群点存在时对广义可加模型进行稳健估计是必要的。
Conclusion it is necessary to carry out robust estimation to generalized additive models when there are outliers in data.
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。
A new selecting weight iteration method is presented. It USES LTS robust estimate to ascertain the initial residuals value.
通过使用模拟数据进一步验证了稳健估计用于参数估计中良好的抗差作用。
By simulation test, it shows that robust estimation, which is applied to parameter estimation, can resist gross errors.
本文研究了GPS高程拟合时对所建立的数学模型进行参数优化选择和稳健估计。
This paper discusses the problems of optimizing parameters and robust estimation for GPS height fitting.
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。
Presents a robust estimate for the linear regression of sensor output characteristic based on the robustness of least absolute deviation estimate.
结果：通过对一个模拟数据的分析，说明这两种稳健估计结果均优于经典的M估计及LS估计。
Results: The analysis of a simulated data shows that these two robust estimates are both super to the traditional M and LS estimates.
引入稳健统计学的思想，对高斯滤波进行了稳健处理，并比较了几种稳健估计权函数对高斯滤波性能的改进。
Robust statistics is introduced to enhance the robustness of Gaussian filtering. Several selected robust weight functions are adopted and compared.
结果表明，利用稳健估计理论来进行林业灰色建模，不但可以抗击粗差的影响，而且预测精度基本满足在80%以上。
The results showed that the application of Robust Estimation Theory in forestry gray modeling could not only avoid the effect of gross error, but also reach the predicted precision over 80%.
绝对偏差最小法是一种适合于存在离群点时的稳健估计算法，可以克服最小二乘法仅在误差为正态分布时才有效的缺点。
Therefore, least absolute deviation, which is more robust than least squares especially for Gaussian noise, is selected to reduce the random error.
方法结合分布假设和稳健统计给出了参数估计方法。
Methods This parameter estimation method is introduced by being combined with distribution hypothesis and robust statistics.
目的介绍并分析适用于一类医学动态监测数据的稳健参数估计方法。
Objective A robust parameter estimation method applied to a class of medical dynamic monitoring data is introduced and analyzed in this paper.
稳健的参数估计技术是现代信号处理的重要研究领域。
An important research field in modern signal processing is the research of robust parameter estimation techniques.
方法：结合分布假设和稳健统计给出了参数估计方法。
This parameter estimation method was introduced by combination of distribution hypothesis with robust statistics.
计算实例表明提出的方法是一种有效的、稳健的参数估计方法。
The new method of parameter estimation is an effective method and a robust method.
数值实验证实了理论结果，显示估计是稳健的。
Numerical experiments support these theoretical results and indicate that the estimates are stable.
针对一个线性回归模型的系统矩阵存在的随机扰动情况，提出一种基于均匀设计的稳健参数估计算法。
A robust parameters estimation algorithm is proposed in this paper, which is based on uniform design for a linear regression model in the case of its coefficient matrix with random disturbance.
理论分析和实验结果证明估计算法是稳健、可靠、有效的且计算复杂度小。
Theoretical analysis and experimental results prove that the estimation algorithm is robust, reliable, efficient and the computational complexity is limited.
而Mantel-Haenszel法却会提供一个更加稳健的平均效应估计，但是这种方法要以忽视被观察到的异质性的存在为代价。
The Mantel-Haenszel method will provide more robust estimates of the average treatment effect, but at the cost of ignoring the observed heterogeneity.
方法将经典的稳健m估计方法引入广义可加模型。
Methods We introduce the classical robust estimation to generalized additive models.
本文基于最小二乘方法和主成分估计思想，构造了一种丢失数据的稳健修复算法，并可对失真数据予以修正。
Based on the least square method and main elements analysis, this paper proposed a robust algorithm to repair the lost and distortion data.
给出一种基于噪声方差估计的稳健融合算法。
A robust fusion algorithm based on noise variance estimation is presented.
以影响函数的有界性来描述估计量的局部稳健性。
The local robustness is described by the bounded Influence Function.
另外，该方法可以适用于任意的阵列结构，并且对期望信号和相干信号方向估计误差具有很强的稳健性。
The proposed method can been applied to an array of arbitrary geometry and is robust to the estimation errors of the source directions.
估计器是一种广泛应用于信号滤波的稳健性估计器。
M estimation is a kind of robust estimator which is used widely in signal filtering.
本文将使用相对于最小二乘法更具有稳健性的分位点回归估计法。
So we introduced and used quantile regression method, which was robust in this situation.
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