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A score test for detection of outliers in generalized linear models

Authors
강명욱김민경
Issue Date
Feb-2004
Publisher
한국데이터정보과학회
Keywords
Generalized linear model; Likelihood ratio test; Outlier; Score test; Generalized linear model; Likelihood ratio test; Outlier; Score test
Citation
한국데이터정보과학회지, v.15, no.1, pp 129 - 139
Pages
11
Journal Title
한국데이터정보과학회지
Volume
15
Number
1
Start Page
129
End Page
139
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16097
ISSN
1598-9402
Abstract
We consider the problem of testing for outliers in generalized linear model. We proceed by first specifying a mean shift outlier model, assuming the suspect set of ourliers is known. Given this model, we discuss standard approaches to obtaining score test for outliers as an alternative to the likelihood ratio test.
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