applied linear regression models 应用线性回归模型
Non-linear regression models 非线性回归预测模型
log-linear regression models 对数线性回归模型
partly linear regression models 部分线性回归模型
multiple-linear regression models 多元线性回归模型
multiple linear regression models 多元线性回归模型
partially linear regression models 部分线性回归模型
multivariate linear regression models 多元线性回归模型
multiple linear regression models set 多元线性回归模型集合
In this paper a "compact least square method" is presented to overcome the ill-conditioned coefficient matrices in the linear regression models.
本文提出一种克服线性回归模型系数矩阵病态的“紧致最小二乘估计”。
The recognition problem is taken as one of classifying among multiple linear regression models, and sparse signal representation is used to solve this problem.
将识别问题看作是多个线性回归模型中的分类问题，并用稀疏表示理论解决这些问题。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
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