Assessing influence on the goodness-of-link in generalized linear models

被引：4

作者：

Lee, AH ^{[1
]}

Zhao, YJ ^{[1
]}

机构：

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

来源：

STATISTICS & PROBABILITY LETTERS | 1997年 / 31卷 / 04期

关键词：

goodness-of-link test; local influence; masking; partial influence;

D O I：

10.1016/S0167-7152(96)00049-1

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：

The evidence for a hypothesized link function in a generalized linear model may depend crucially on one or a few observations. Global and local influence diagnostics are proposed to assess influence on the goodness-of-link test. It is found that the local influence method can reveal influential observations on the link even when masking is present.

引用

页码：351 / 358

页数：8

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