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

页码：1117 / 1128

页数：12

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