首页 | 本学科首页   官方微博 | 高级检索  
检索        

减变量图残差图在回归诊断中的应用
引用本文:王斌会,郭祖超.减变量图残差图在回归诊断中的应用[J].数理医药学杂志,1993,6(1):1-5.
作者姓名:王斌会  郭祖超
作者单位:第一军医大学 广州510515(王斌会),第四军医大学 西安710032(郭祖超,胡琳,徐勇勇,李文潮)
摘    要:在评价一个正态线性棋型的准确性时,偏残差图、增加变量图和构造变量图是三个有用的过程。本文在变量选择问题的基础上,提出了一种新的图示棋型——减变量图残差图。通过减变量残差图,不但可以容易地考察一个变量在模型中的作用,而且可以诊断样本点对模型和变量的影响大小。

关 键 词:回归诊断  减变量图残差图  LS估计  强影响点

Subtracting Variable Residual Plot and It APPlication to Resgression Diagnostics
Wang Binhui Guo Zuchao.Subtracting Variable Residual Plot and It APPlication to Resgression Diagnostics[J].Journal of Mathematical Medicine,1993,6(1):1-5.
Authors:Wang Binhui Guo Zuchao
Institution:Wang Binhui Guo Zuchao
Abstract:Abstract The added variable plot, partial residual plot and constructed variable plot are three useful diagnostic procedures in assessing the accuracy of a normal linear model. In this paper, a new graphical model called subtracting variable residual plot is presented on the basis of bariable selection problem. It can not only be used to determine the importance of an explanatory variable in the regression model, but also to detect some cases with influence on the model and variables.
Keywords:Regression diagnostics  Subtracting variable plot  LS estimate  Influential observations
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号