1) weighted exponential regression
加权指数回归
1.
The theories of three regression analysis methods were illustrated, which are simple linear regression, exponential regression and weighted exponential regression.
首先阐述了一元线性回归、指数回归、加权指数回归等3种回归分析方法的原理及各模型参数的确定方法。
2) exponential-weighted regression
指数加权回归
1.
The main purpose of this paper is to present a method for detemining the parameter Wt of Bayesian dynamic linear models (BDLM) regarding as exponential-weighted regression (E.
利用指数加权回归（Ｅ。
3) generalized exponentially weighted regression
广义指数加权回归
1.
The main purpose of this paper is to study the application of generalized exponentially weighted regression (G.
本文主要研究广义指数加权回归在贝叶斯线性动态线性模型参数估计中的作用 ,提供了一种估计模型误差方差矩阵的方
4) 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
6) regression weights
回归加权
补充资料：加权回归
分子式：
CAS号：
性质：如果回归线上的各点的精度不同，对各点赋以不同的权值，用加权最小二乘法确定回归系数，拟合回归方程和回归线。
CAS号：
性质：如果回归线上的各点的精度不同，对各点赋以不同的权值，用加权最小二乘法确定回归系数，拟合回归方程和回归线。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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