期刊文献+

关于R^2的几点质疑 被引量:6

Cautions About R^2
原文传递
导出
摘要 论证线性回归分析指标R^2拟合意义的局限性,并质疑R^2检验的正当性。通过经济计量学课程实验资料揭示R^2的局限,实证分析经济计量学软件Eviews R^2计算公式的误区。此外,提出并建议采用残差误差率指标作为回归分析拟合优度的可决系数较为适宜。 This paper points out the imperfections of R2in its meaning of good- ness of fit for linear regression, and also questions the proper conduct of R2about its statistical test. With curriculum cases of econometrics we verify its imperfec- tions and confirm the calculation errors made by Eviews. We suggest a new error ratio to describe the goodness of fit to determine a linear regression model.
出处 《数量经济技术经济研究》 CSSCI 北大核心 2013年第9期152-160,共9页 Journal of Quantitative & Technological Economics
关键词 线性回归 最小二乘估计 拟合优度 Linear Regression Least Squares Goodness of Fit
  • 相关文献

参考文献8

  • 1William H. Greene, 2000, Econometric Analysis [M], Prentice-Hall.
  • 2Damodar N. Guiarati, 2003, Basic Econometrics [M], McGraw-Hill.
  • 3Badi H. Baltagi, 1999, Econometrics [M], Springer, Berlin Heidelberg.
  • 4Robert S. Pindyek, Daniel L. Rubinfeld, 1998, Econometric Models and Econometric Forecasts [M], McGraw-Hill Companies.
  • 5Michael D. Intriligator, Ronald G. Bodkin, Cheng Hsiao, 1996, Econometric Models, Techniques, and Application [M], Prentice-Hall.
  • 6Tarald O. Kvalseth, 1985, Cautionary Note About R2 [J], The American Statistician, 4 (39), 2794285.
  • 7陈希孺、王桂松:《近代实用回归分析》[M],广西人民出版社,1984.
  • 8庞皓:《计量经济学》[M],科学出版社,2010.

同被引文献76

引证文献6

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部