广义最小二乘法是指变换原回归模型，使变换后模型的随机误差项消除自相关，进而用普通最小二乘法估计回归参数。
根据采集数据的特点，采用广义最小二乘法标定模型。
According to the characteristics of data collection, generalized least squares method was used to calibrate model.
这样广义最小二乘法，偏差校正法及伪线性法的离线算法便很容易地以这同一准则导出。
Off-line algorithms of GLS, BCLS and PLR can be derived easily from the same criterion.
利用核函数法和广义最小二乘法给出了一般变系数ev模型系数参数的估计，得到了估计的强相合性。
In this paper, the estimation of coefficient functions in a varying-coefficients EV model are constructed by using kernel smoothing and generalized least square method.
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