通过逐步回归分析方法剔除次要影响因素，并采用卡尔曼滤波方法动态预测回归残差项。
The sequential regression analysis was adopted to screen off the secondary factors, and the Kalman filtering technique was used to estimate innovation coefficients of the model dynamically.
西格玛黑带应能识别在各种可能原因的列表中，哪一个原因最合适解释在回归残差中出现的非随机分布。
The Six Sigma Black Belt should be able to identify which cause on a list of possible causes will most likely explain a non-random pattern in the regression residuals.
然后采用谱分析技术，得出各价格的具体周期，并剔除关键诱因的影响后对回归残差进行功频谱分析，进一步对回归方程进行检验。
It has verified the regression Equation by the analysis of Power-frequency Spectrum of regression on residual value after removing the influence of the key factors.
本文给出了若干近似公式，以分析非线性回归模型的最小二乘估计的残差。
Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.
六西格玛黑带应能够识别不恰当的回归模型的残差图形，并能应用正确的补救方法。
The Six Sigma Black Belt will be able to identify patterns in residuals from an improper regression model and to apply the correct remedy.
方法：利用COX回归模型的两种残差和经验影响函数识别COX模型的强影响点，并通过实例比较两种方法的优劣。
Method: Apply two kinds of residual theory and influence of COX model to diagnosing the influence point of COX model, and compares residual analysis to influence analysis.
城市空气质量回归预报模型的残差分布存在着不对称现象，它是由高杠杆点引起。
There exists asymmetry characteristic of residual distribution in the regression model of city air quality forecast. It is caused by some high leverage cases.
回归模型的残差项反映了对被解释变量有影响但未列入解释变量的因素所产生的噪音，这部分噪音可由时间序列模型进行拟合。
The residual term in the regression model is the noise generated by the omitted variables that influent dependent variable in the model. The time series model can fit this noise.
对回归模型残差进行逆距离权重插值，发现空间回归和传统回归的残差分布具有较高的一致性，并且符合土壤养分分布情况。
Kriging interpolation maps for residuals were drawn. The residuals of classic regression and spatial regression had high consistency, and the distributions were in line with the soil nutrients.
线性回归模型的误差项不服从正态分布或存在多个离群点时，可以将残差秩次的某些函数作为权重引入估计模型来减少离群点的不良影响。
When multiple outliers occur in linear regression model or the distribution of residuals is not normal, we can use residuals rank as weight function to get some resist estimator.
本文提出用预报残差最小的逐步回归方法作预报，较之传统的逐步回归具有计算简便、适应于小型计算机计算等优点。
The new stepwise regression method with minimum of forecast error is proposed in this paper. It is more simple, convenient, and easier used in microcomputer than the traditional stepwise regression.
首先，采用改进的Y—W方程对TVARMA模型时变自回归部分系数进行估计，并计算残差序列；
Firstly, the modified Y-W equation was used to estimate the parameters of the time-varied auto-regressive part and the error signal;
首先，采用改进的Y—W方程对TVARMA模型时变自回归部分系数进行估计，并计算残差序列；
Firstly, the modified Y-W equation was used to estimate the parameters of the time-varied auto-regressive part and the error signal;
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