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。
The randomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.
主要考虑了同方差型的半参数线性回归模型中参数的随机加权最小二乘估计（RWLSE）。
If we use the equation of least square estimator directly, computing amount is often very great because course of computing need calculate the inverse of matrix and multiplication of matrix.
若直接采用最小二乘估计的公式，因计算过程需要求矩阵的逆及乘积，计算量非常大。
In the present paper, We give the necessary and sufficient conditions for which the minimum variance linear unbiased estimator reduces to the least square in multivariate linear models.
本文讨论回归方程组系数的估计，给出最小二乘估计是有效估计的条件。
In the present paper, We give the necessary and sufficient conditions for which the minimum variance linear unbiased estimator reduces to the least square in multivariate linear models.
本文讨论回归方程组系数的估计，给出最小二乘估计是有效估计的条件。
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