For the linear weighted regression model, this paper defines a new relative efficiency, gives its lower bound and also discusses its relation to other three efficiencies.
考虑加权回归模型，定义了一种新的相对效率，并给出了相对效率的下界，同时讨论了新的相对效率与其它三种已有相对效率的关系。
Results show that the proposed weighted regression calibration method is the most efficient and that the standard errors estimated using a bootstrap procedure are satisfactory.
对于参数估计量的标准差，我们则是利用拔靴法来估计，其结果的表现也与仿真的标准差很接近。
Thirdly, a learning method based on Locally Weighted Regression is proposed to forecast the motion of the ball, especially after the ball bump into wall.
提出一种基于局部加权回归预测球运动轨迹的学习方法，尤其是球与边界碰撞后的运动轨迹。
Thirdly, a learning method based on Locally Weighted Regression is proposed to forecast the motion of the ball, especially after the ball bump into wall.
提出一种基于局部加权回归预测球运动轨迹的学习方法，尤其是球与边界碰撞后的运动轨迹。
应用推荐