Identification of Multiple Outliers in Logistic Regression

DOI10.1080/03610920701826161zbMath1140.62061OpenAlexW2167193589MaRDI QIDQ3518480

A. H. M. R. Imon, Ali S. Hadi

Publication date: 8 August 2008

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920701826161

zbMATH Keywords

tablesoutlierslogistic regressionmaskingPearson residualsgroup deletiongeneralized standardized Pearson residuals

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items (9)

Identification of influential observation in linear structural relationship model with known slope ⋮ New computational methods for classification problems in the existence of outliers based on conic quadratic optimization ⋮ Diagnostics of multiple group influential observations for logistic regression models ⋮ Identification of multiple influential observations in logistic regression ⋮ Geometric median and its application in the identification of multiple outliers ⋮ Identification of multiple high leverage points in logistic regression ⋮ Multiple deletion diagnostics in beta regression models ⋮ Identification of multiple outliers in a generalized linear model with continuous variables ⋮ Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

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• Fast Very Robust Methods for the Detection of Multiple Outliers
• Joint Estimation of Model Parameters and Outlier Effects in Time Series
• THE ESTIMATION FROM INDIVIDUAL RECORDS OF THE RELATIONSHIP BETWEEN DOSE AND QUANTAL RESPONSE

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