This paper presents the performance analysis of recursive least square algorithm with error-saturation in mixture noise.
本文给出了在混合噪声中非线性递归最小均方误差算法的性能分析。
The superiority of the classical least square method is lost due to the morbid of designed matrix in large-type linear regression analysis.
在大型线性回归分析中，由于设计矩阵的病态使得经典的最小二乘法失去了优良性。
Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.
本文给出了若干近似公式，以分析非线性回归模型的最小二乘估计的残差。
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