INFLUENCE DIAGNOSTICS FOR GENERALIZED LINEAR MEASUREMENT ERROR MODELS

被引：14
|
作者：
ZHAO, YJ [1 ]
LEE, AH [1 ]
VANHUI, Y [1 ]
机构：
[1] CITY UNIV HONG KONG,DEPT APPL STAT & OPERAT RES,KOWLOON,HONG KONG
来源：
BIOMETRICS | 1994年 / 50卷 / 04期
关键词：
COOKS DISTANCE; ERRORS IN VARIABLES; INFLUENTIAL OBSERVATIONS; OUTLIERS;
D O I：
10.2307/2533448
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We study influence diagnostics for generalized linear models when the true covariates are unobservable but measured with error. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. The magnitude of influence is then assessed via a simulated envelope approach. The proposed diagnostic procedure is illustrated on two examples.
引用
收藏
页码：1117 / 1128
页数：12
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