Robust m estimation is widely used for its robustness and simple calculation procedure.
抗差m估计是使用最广泛、计算较简明的抗差估计法。
Compared with traditional optical flow and m estimation methods, the proposed algorithm only calculates in the DC domain and does not iterate, so it can segment almost in real time.
与传统光流法、M估计法比较，该算法只在压缩域上进行，不需迭代，具较强实时性。
In order to overcome the disturbance of noises, a robust identification method of water quality model parameters namely trust region algorithm based on M-estimation is proposed.
为了克服随机噪声对河流水质模型参数估计的干扰，提出了一种水质模型参数的鲁棒估计方法，即基于M -估计的信赖域算法。
In this paper, we introduce the concepts of robust statistics and the robust method of M-estimation.
本文介绍了稳健统计的概念和M估计的稳健方法。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
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