二分Logistic模型在分类预测中的应用分析  

Application Analysis on Classification Forecasting Using Binary Logistic Regression Model

作　　者：杨小平[1] 

机构地区：[1]四川师范大学信息技术学院,四川成都610066

出　　处：《四川师范大学学报（自然科学版）》2009年第3期393-395,共3页Journal of Sichuan Normal University（Natural Science）

基　　金：四川省应用基础研究基金(2006J13-051)资助项目

摘　　要：利用二分Logistic回归模型解决0-1区间事件发生概率问题,对成都市小型物流企业信息技术采纳与否进行分类预测,共提取出组织能力、渠道能力、研发能力和设备能力4个公共因子,采用自变量强制进入法建立回归模型,最后预测分析显示模型拟合效果比较理想,对企业信息化建设具有一定的指导意义.The binary logistic regression model is always used to solve the probability question of events which happen in the interval from 0 to 1. This paper forecasts IT adoption decision making of small logistics businesses in Chengdu City, Sichuan Province of China. There are four common factors： organizing ability, channel ability, developing ability and deploying ability acting common factors abstracted from varied items, it puts independent variable in model forced by method of enter. Finally, the result of forecasting ability test shows that model simulation effects are satisfactory.

关 键 词：分类预测 二分Logistic回归 因子分析 

分 类 号：F27[经济管理—企业管理]