The gradient test statistic for outlier detection in generalized estimating equations

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dc.contributor.authorOsorio, Felipe
dc.contributor.authorGarate, Angelo
dc.contributor.authorRusso, Cibele M.
dc.date.accessioned2025-01-20T16:18:48Z
dc.date.available2025-01-20T16:18:48Z
dc.date.issued2024
dc.description.abstractWe develop diagnostic tools for estimating equations, useful for the analysis of data with longitudinal structure. The gradient statistic introduced by Terrell (2002) is used to propose a case deletion measure, as well as a statistic for the detection of outlying observations using a mean -shift outlier model. The proposed methodology is illustrated with an example.
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.spl.2024.110087
dc.identifier.eissn1879-2103
dc.identifier.issn0167-7152
dc.identifier.urihttps://doi.org/10.1016/j.spl.2024.110087
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/90665
dc.identifier.wosidWOS:001221640200001
dc.language.isoen
dc.revistaStatistics & probability letters
dc.rightsacceso restringido
dc.subjectCook's distance
dc.subjectGradient statistic
dc.subjectMean shift outlier model
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleThe gradient test statistic for outlier detection in generalized estimating equations
dc.typeartículo
dc.volumen209
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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