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

Andy H. Lee; Yuejun Zhao

doi:10.1016/S0167-7152(96)00049-1

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

Andy H. Lee, Yuejun Zhao

Research output: Contribution to journal › Comment/debate

Abstract

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.

Original language	English
Pages (from-to)	351-358
Number of pages	8
Journal	Statistics and Probability Letters
Volume	31
Issue number	4
DOIs	https://doi.org/10.1016/S0167-7152(96)00049-1
Publication status	Published - 1997

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@article{89adbb046c314839a3ac39f4d393af2b,

title = "Assessing influence on the goodness-of-link in generalized linear models",

abstract = "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.",

keywords = "Goodness-of-link test, Local influence, Masking, Partial influence",

author = "Lee, {Andy H.} and Yuejun Zhao",

year = "1997",

doi = "10.1016/S0167-7152(96)00049-1",

language = "English",

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pages = "351--358",

journal = "Statistics and Probability Letters",

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TY - JOUR

T1 - Assessing influence on the goodness-of-link in generalized linear models

AU - Lee, Andy H.

AU - Zhao, Yuejun

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

KW - Goodness-of-link test

KW - Local influence

KW - Masking

KW - Partial influence

U2 - 10.1016/S0167-7152(96)00049-1

DO - 10.1016/S0167-7152(96)00049-1

M3 - Comment/debate

VL - 31

SP - 351

EP - 358

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

SN - 0167-7152

IS - 4

ER -

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

Abstract

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