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Moment of inertia based simple linear regression

机译:基于惯性矩的简单线性回归

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Variables on economic activities are of random and correlation generally, while ordinary least square regression (OLSR) can not reflect such data. The reason is OLSR defines only the dependent variable as the one-dimensional random variable, without considering the random variable, and the regression results are affected by the chosen coordinate. To improve it and reflect real economic variables, a new independent-coordinated linear regression method -- the rotating inertia method is presented, which is based the dynamics nature of rigid plate fixed-axis rotation. The simulation example verified and compared with the least squares method to conventional method regression system deviation is small, the regression accuracy. Moment of inertia method is a numerical solution, the computation of the advantages make it has a broad application prospect.
机译:经济活动的变量通常具有随机性和相关性,而普通最小二乘回归(OLSR)无法反映此类数据。原因是OLSR仅将因变量定义为一维随机变量,而不考虑随机变量,并且回归结果受所选坐标的影响。为了改进它并反映实际的经济变量,基于刚性板固定轴旋转的动力学特性,提出了一种新的独立协调的线性回归方法-旋转惯量方法。该仿真实例验证了并与最小二乘法相比于常规方法回归系统偏差小,回归精度高。转动惯量法是一种数值解法,其优​​点在于其计算方法具有广阔的应用前景。

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