| 一种基于Logistic回归的银行保险消费行为影响因素分析与预测 |
| |
| 引用本文： | 于洪霞,李兴.一种基于Logistic回归的银行保险消费行为影响因素分析与预测[J].上海电力学院学报,2017,33(3):307-312. |
| |
| 作者姓名： | 于洪霞 李兴 |
| |
| 作者单位： | 上海电力学院 数理学院,华泰财产保险有限公司 个险承保部 |
| |
| 摘 要： | 运用Logistic回归方法分析了银行保险消费行为的影响因素,并构建了预测模型,然后利用保留样本进行了实证检验.通过对样本数据过离散、空单元、多元共线性、特异值、特殊影响案例的诊断,以及对模型的拟合程度和预测效果的检验,验证了所构建的模型具有较好的拟合程度和预测效果.
|
| 关 键 词： | 银行保险 消费行为分析 分类变量 Logistic回归分析 |
| 收稿时间： | 2015/9/9 0:00:00 |
Analysis and Forecast Model of Bancassurance Consuming Behavior Based on Logistic Regression Method |
| |
| YU Hongxia and LI Xing.Analysis and Forecast Model of Bancassurance Consuming Behavior Based on Logistic Regression Method[J].Journal of Shanghai University of Electric Power,2017,33(3):307-312. |
| |
| Authors: | YU Hongxia and LI Xing |
| |
| Affiliation: | School of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 201300, China and Underwriting Dept. of Consumer Line, Huatai P & C Insurance Co. Ltd, Shanghai 201315, China |
| |
| Abstract: | Logistic regression method is applied to analyze effect factors of bancassurance consuming behavior and build a forecast model.Then the model is tested with reserved sample.Through the diagnosis of overdispersion,zero cell count,multicollinearity,outliers,influential observations and test of level of fitness and predictive accuracy,the model is proved to be adequate and effective,indicating that 12 factors are of significance in statistics science. |
| |
| Keywords: | bancassurance consuming behavior analysis categorical variables logistic regression method |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《上海电力学院学报》浏览原始摘要信息 |
|
点击此处可从《上海电力学院学报》下载全文 |
|
