According to the characteristics of data collection, generalized least squares method was used to calibrate model.
根据采集数据的特点，采用广义最小二乘法标定模型。
Direct parameters were attained from the measurement data, and hidden parameters of the model were calibrated using the generalized least squares method.
模型的直接参数通过实测数据获得，隐含参数利用非线性最小二乘法拟合反求获得。
By employing the concept of statistical curvatures, the information loss of the maximum likelihood estimator and the generalized least squares estimator is investigated.
利用统计曲率的概念，研究结构方程模型的最大似然估计量和广义最小二乘估计量的信息损失，得到了简明的结果。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
However, the generalized moving least squares approximation makes require least squares approximation with regard to functional and its derivative value on all nodes.
而广义移动最小二乘近似要求近似函数及其导数在所有节点处的误差的平方和最小。
The least squares solution of inverse problems of generalized skew symmetric matrices and It's optimal approximation problems are discussed.
讨论了线性流形上广义次对称矩阵反问题的最小二乘解及其逼近问题。
The least squares solution of inverse problems of generalized skew symmetric matrices and It's optimal approximation problems are discussed.
讨论了线性流形上广义次对称矩阵反问题的最小二乘解及其逼近问题。
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