本文主要对线性支持向量顺序回归机进行理论研究。
For linear support vector ordinal regression machines, some theoretical aspects are studied in this paper.
第二类模式是一种速率的经验式，其中速率常数及反应顺序取决于对实验结果的线性回归的讨论。
The second type of these models is an empirical rate expression, which rate constants and reaction orders are determined by dealing the experimental results with linear regression.
基于不完全数据顺序统计量，提出一种不完全数据回归分析方法。
Based on the order statistics of incomplete data, a regression analysis method for incomplete data is presented.
首先通过一个数值例子，说明了顺序关联度量与ROC分析两种常用方法在二项响应回归模型预测能力验证方面存在的不足。
Firstly, the deficiency of two popular methods, measure of ordinal association and ROC analysis, for validation of binary regression models was illustrated by a designed numerical example.
首先通过一个数值例子，说明了顺序关联度量与ROC分析两种常用方法在二项响应回归模型预测能力验证方面存在的不足。
Firstly, the deficiency of two popular methods, measure of ordinal association and ROC analysis, for validation of binary regression models was illustrated by a designed numerical example.
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