SA  >> Vol. 5 No. 3 (September 2016)

    基于广义线性模型的大学生挂科影响因素分析
    The Analysis on Influence Factors of College Students’ Failing in Tests Based on Generalized Linear Model

  • 全文下载: PDF(401KB) HTML   XML   PP.232-236   DOI: 10.12677/SA.2016.53023  
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作者:  

聂映芹,张建,高洁,张雨:中国矿业大学(北京)理学院,北京

关键词:
大学生挂科泊松回归模型负二项回归模型College Students’ Failing in Tests Poisson Regression Model Negative Binomial Regression Model

摘要:

大学生挂科情况是学生在校学习情况的集中体现,本文通过统计建模确定了一些对大学生挂科门数具有显著影响的因素,给出了一些提高大学生在校学习情况的意见。统计建模中鉴于泊松回归模型存在过离散现象,采用了负二项回归模型。

College students’ failing in tests represents intensively the students’ learning situation in the col-lege. This paper identified a number of factors that have a significant impact on the total number of college students’ failing in tests by statistical modeling and gave some advices that improve the college students’ academic performance. The phenomenon over discrete came out in the process of Poisson regression, so we used a negative binomial regression model.

文章引用:
聂映芹, 张建, 高洁, 张雨. 基于广义线性模型的大学生挂科影响因素分析[J]. 统计学与应用, 2016, 5(3): 232-236. http://dx.doi.org/10.12677/SA.2016.53023