1) ordered logistic regression model
累积Logistic回归模型
1.
In addition,an ordered logistic regression model of travel information choice behavior is proposed to reflect the internal relationship among the factors.
通过对大连市私家车出行者交通出行信息使用意向调查,获取私家车出行者交通出行信息选择行为特性数据,引入因子分析方法对交通出行信息内容进行合理分类,建立交通出行信息选择累积Logistic回归模型,对私家车出行者交通出行信息需求进行研究。
3) 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。
4) accumulative Logistic regression analysis
累积Logistic回归分析
5) cumulative logistic model
累积Logistic模型
1.
This paper,through a survey data of the residents trip in Urumchi City,establishes a cumulative logistic model to forecast the residents trip times.
通过乌鲁木齐居民出行调查数据建立了一个预测居民出行次数的累积logistic模型。
2.
In order to analyze the factors that affect the severity of traffic accidents,the cumulative Logistic model has been established on the basis of investigating the data about the traffic accident at unsignalized three-phase intersection in the peripheral area around Beijing.
为了分析交叉口交通事故严重程度的影响因素,在对北京周边无信号三路交叉口交通事故数据调查的基础上,建立的累积Logistic模型,可为我国交叉口严重交通事故的预防提供科学依据。
6) logistic regression model
logistic回归模型
1.
Logistic regression model of non-invasively predicting risk for variceal bleeding;
无创性预测门脉高压静脉曲张出血的Logistic回归模型
2.
Analysis of the driving forces of change of rural residential areas in Beijing mountainous areas based on Logistic regression model;
基于Logistic回归模型的北京山区农村居民点变化的驱动力分析
3.
Logistic regression model and its application in entomology;
Logistic回归模型及其在昆虫学中的应用
补充资料：多元线性回归模型
分子式：
CAS号：
性质：假定从理论上或经验上已经知道输出变量y是输入变x1，x2，…,xm的线性函数，但表达其线性关系的系数是未知的，要根据输入输出的n次观察结果(c11，x21，…，xml，yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为多元线性回归模型。
CAS号：
性质：假定从理论上或经验上已经知道输出变量y是输入变x1，x2，…,xm的线性函数，但表达其线性关系的系数是未知的，要根据输入输出的n次观察结果(c11，x21，…，xml，yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值，所得到的模型为多元线性回归模型。
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