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多元回归分析

Multiple regression analysis
课程网址: http://videolectures.net/ssmt09_kittel_mra/  
主讲教师: Bernhard Kittel
开课单位: 奥尔登堡大学
开课时间: 2009-08-07
课程语种: 英语
中文简介:
本课程首先讨论多元回归模型的逻辑以及普通最小二乘法的核心假设。然后,在横截面数据的背景下,对假设的充分性以及对估计技术的适当修正和扩展进行测试。将特别强调多重共线性和异方差性。课程的第二部分集中在功能形式上。模型的变量是非线性的,但参数是线性的,虚拟变量和交互项将被涵盖。在第三部分中,讨论了特殊数据产生的各种主题。首先,介绍了二元相关变量的分析。其次,讨论了纵向数据分析中的问题,即时间序列和面板数据,特别强调了自相关。本课程假设在测试理论和二元回归分析的水平上精通描述性统计和推论统计。
课程简介: The course starts with a discussion of the logic of the multivariate regression model and the central assumptions underlying the ordinary least squares approach. Then it proceeds with testing for the adequacy of the assumptions and suitable corrections and extensions to the estimation techniques in the context of cross-sectional data. Particular emphasis will be laid on multicollinearity and heteroskedasticity. The second part of the course focuses on functional form. Models that are nonlinear in variables but linear in parameters, dummy variables, and interaction terms will be covered. In the third part, various topics arising with special data are covered. Firstly, the analysis of binary dependent variables is introduced. Secondly, problems involved with the analysis of longitudinal data, i.e. time series and panel data, are discussed, with special emphasis on autocorrelation. The course assumes proficiency with descriptive and inferential statistics at the level of test theory and bivariate regression analysis.
关 键 词: 计算机科学; 机器学习; 多元回归模型; 最小二乘法
课程来源: 视频讲座网
最后编审: 2019-11-23:lxf
阅读次数: 33