ASSESSMENT OF INFLUENCE IN NONLINEAR MEASUREMENT ERROR MODELS

被引：9

作者：

ZHAO, YJ ^{[1
]}

LEE, AH ^{[1
]}

机构：

[1] NO TERR UNIV,FAC SCI,DARWIN,NT 0909,AUSTRALIA

来源：

JOURNAL OF APPLIED STATISTICS | 1995年 / 22卷 / 02期

关键词：

D O I：

10.1080/757584615

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We consider the assessment of outliers and influential observations in nonlinear measurement error models. Residuals, leverage measures and case-deletion diagnostics are examined. The method of local influence is also applied to the models. In particular, the perturbation of measurement error variances has been found useful in assessing the adequacy of the model assumptions. A numerical example is given to illustrate the application of the diagnostics.

引用

页码：215 / 225

页数：11

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