1) AGO regressive
累加回归
2) cumulative logistic regression
累积Logistic回归
1.
In order to overcome these deficiencies, this paper analyzes the ordinal characteristics of the congestion intensity,and then introduces the cumulative logistic regression into the measurement models of the congestion intensity.
为了改进上述不足,该文在分析拥堵强度序次特征后,将累积Logistic回归引入到道路交通拥堵强度评价模型。
3) weighted regression
加权回归
1.
With the kernel weight based on similarly between target gene and sample genes,which localize missing value estimation,a new method based on weighted regression is presented.
利用相似性信息的核加权函数来实现缺失值回归估计的局部化,提出了基于加权回归估计的基因表达缺失值估计算法。
2.
The weighted regression and nonlinear fitting model parameter optimization method are adopted to make regression analysis of observed data of landslide in different length of period.
采用加权回归和非线性拟合模型参数优化方法 ,对不等时距的滑坡监测资料进行回归分析 通过实例计算 ,证明了上述方法的有效性 ,提高了建模精
5) regression weights
回归加权
6) accumulative Logistic regression analysis
累积Logistic回归分析
补充资料：累加异常
分子式：
CAS号：
性质：用一组特征指示元素的含量规格化后的累加值绘制的组合异常。
CAS号：
性质：用一组特征指示元素的含量规格化后的累加值绘制的组合异常。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条