We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models.
本文在矩阵损失下研究了一般增长曲线模型中随机回归系数线性估计的可容许性。
A dynamic catalyst coking model and multi-variant linear regression model are used to estimate the parameters of catalyst coking model.
提出了采用动态结焦模型以及新鲜催化剂结焦速率的线性回归模型来估计结焦模型参数的方法。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
Research results:Residual strength of slip soil has linear regression with peak strength; plastic index can be better used to estimate residual strength.
研究结果：滑带土的峰值强度和残余强度比较接近，成线性关系；塑性指数能较好的用来估算残余强度。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
Presents a robust estimate for the linear regression of sensor output characteristic based on the robustness of least absolute deviation estimate.
利用最小一乘估计的稳健性，给出了传感器输出特征线性化的特征直线的稳健估计。
Presents a robust estimate for the linear regression of sensor output characteristic based on the robustness of least absolute deviation estimate.
利用最小一乘估计的稳健性，给出了传感器输出特征线性化的特征直线的稳健估计。
应用推荐