高校学生参加科技竞赛需求和受益的多元统计实例研究
发布时间：2018-12-18 11:48
【摘要】：本文以经典的统计分析软件SPSS软件为工具，以多元统计分析中的逐步回归与Logistic回归为主要研究方法，，以2008—2010年的3年校级全国级数学建模竞赛参赛学生数据为研究对象通过数据收集缺失值分析（EM算法）变量筛选（因子分析逐步回归）数据分析统计建模（logistic回归模型）模型检验（拟合优度检验Wald显著性检验）等步骤来分析研究学生参加数学建模竞赛需求和受益模型 本文通过分析学生在参加该项赛事上各项需求对学生受益的实际影响，得到哪些需求是起关键作用的，哪些是作用不显著的；在实现扩大该项赛事受益规模上，应当重点提高哪些需求指标，即我们应当为学生提供的主要保障是什么，可以适当减少的投入又是什么 通过本文分析，建模培训因素团队专业因素个人综合能力和个人学习能力因素和导师指导因素对于提高数学建模参赛者的受益率占主导地位学校应该加大对学生的数学建模竞赛的培训力度，为学生配备优秀导师的进行指导以及学生应该更注重综合能力和个人学习能力的提高鼓励组队时，应尽量满足专业多元化，加强团队协作，从而更加有益于受益，诸如数学建模竞赛获奖和自身发展
[Abstract]:In this paper, the classical statistical analysis software SPSS is used as the tool, and the stepwise regression and Logistic regression in multivariate statistical analysis are used as the main research methods. Taking the 3-year National Mathematical Modeling Competition from 2008 to 2010 as the research object, the data analysis and statistical modeling (logistic) are studied through data collection, missing value analysis (EM algorithm) variable screening (factor analysis stepwise regression), data analysis and statistical modeling (logistic). Regression model) model test (goodness of fit test Wald significance test) and other steps to analyze the needs of students to participate in mathematical modeling competition and benefit model. The actual impact on students' benefits, What needs are critical and which are not significant; In order to realize the expansion of the benefit scale of the event, we should focus on improving the demand indicators, that is, what are the main guarantees we should provide to the students, and what is the input that can be appropriately reduced through the analysis of this article, Modeling training factors team professional factors individual comprehensive ability and individual learning ability factors and tutors' guidance factors should strengthen the training of students' mathematical modeling competition in order to improve the benefit rate of mathematical modeling contestants. Students with excellent mentors and students should pay more attention to the improvement of comprehensive ability and individual learning ability to encourage the formation of teams, should be as far as possible to meet the diversity of professional, strengthen team cooperation, so as to be more beneficial to benefit. Such as mathematical modeling competition award-winning and self-development
【学位授予单位】：北京工业大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：G642
本文编号：2385805
[Abstract]:In this paper, the classical statistical analysis software SPSS is used as the tool, and the stepwise regression and Logistic regression in multivariate statistical analysis are used as the main research methods. Taking the 3-year National Mathematical Modeling Competition from 2008 to 2010 as the research object, the data analysis and statistical modeling (logistic) are studied through data collection, missing value analysis (EM algorithm) variable screening (factor analysis stepwise regression), data analysis and statistical modeling (logistic). Regression model) model test (goodness of fit test Wald significance test) and other steps to analyze the needs of students to participate in mathematical modeling competition and benefit model. The actual impact on students' benefits, What needs are critical and which are not significant; In order to realize the expansion of the benefit scale of the event, we should focus on improving the demand indicators, that is, what are the main guarantees we should provide to the students, and what is the input that can be appropriately reduced through the analysis of this article, Modeling training factors team professional factors individual comprehensive ability and individual learning ability factors and tutors' guidance factors should strengthen the training of students' mathematical modeling competition in order to improve the benefit rate of mathematical modeling contestants. Students with excellent mentors and students should pay more attention to the improvement of comprehensive ability and individual learning ability to encourage the formation of teams, should be as far as possible to meet the diversity of professional, strengthen team cooperation, so as to be more beneficial to benefit. Such as mathematical modeling competition award-winning and self-development
【学位授予单位】：北京工业大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：G642
【参考文献】
相关期刊论文 前2条
1 吕忠楷;胡锡健;;缺失数据的聚类分析及SPSS模拟在经济学中的应用[J];科技和产业;2010年11期
2 王爱平;张功营;刘方;;EM算法研究与应用[J];计算机技术与发展;2009年09期
本文编号：2385805
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