减变量图残差图在回归诊断中的应用  

Subtracting Variable Residual Plot and It APPlication to Resgression Diagnostics

作　　者：王斌会[1] 郭祖超[2] 胡琳[2] 徐勇勇[2] 李文潮[2] 

机构地区：[1]第一军医大学,广州510515 [2]第四军医大学,西安710032

出　　处：《数理医药学杂志》1993年第1期1-5,共5页Journal of Mathematical Medicine

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。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.

关 键 词：回归诊断 减变量图 残差图 

分 类 号：R311[医药卫生—基础医学]