Several approximate formulas are given for residual analysis of the leastsquare 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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Though the decision directed least mean square error algorithm (DD-LMS) has small residual error, when the channel eye close, it can not converge. That is, it has no cold start ability.
It used the moving leastsquare approximation as a trial function, and used the weighted function of the moving leastsquare approximation as a test function of the weighted residual method.