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Assessing the Accuracy of Outlier Tests in Nonlinear Regression

Authors
강명욱김보영
Issue Date
Jan-2009
Publisher
한국통계학회
Keywords
Mean shift outlier model; outlier test; curvaturemeasure; confidence curves
Citation
Communications for Statistical Applications and Methods, v.16, no.1, pp 163 - 168
Pages
6
Journal Title
Communications for Statistical Applications and Methods
Volume
16
Number
1
Start Page
163
End Page
168
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/14075
ISSN
2287-7843
Abstract
Given the specific mean shift outlier model, the standard approaches to obtaining test statistics for outliers are discussed. Accuracy of outlier tests is investigated using subset curvatures. These subset curvatures appear to be reliable indicators of the adequacy of the linearization based test. Also, we consider obtaining graphical summaries of uncertainty in estimating parameters through confidence curves. The results are applied to the problem of assessing the accuracy of outlier tests.
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