This article researches the coefficient estimating problem of the linear regression model and the math analysis foundation of the leastsquaresestimation applying in the coefficient estimating.
本文研究了线性回归模型中的参数估计问题，运用最小二乘法进行参数估计的数学分析基础。
2
Finally, two numerical examples are given to illustrate the methods of moments estimation and the nonlinear leastsquaresestimation.
最后，用两个数字实例对矩估计法和非线性最小平方估计法加以具体的说明。
3
The direct form for the recursive leastsquaresestimation via matrix QR decomposition with one step data updated is given .