Perfect value and outlier detection in logistic binary choice models

DOI10.1080/03610929908832366zbMath0936.62086OpenAlexW2067736188MaRDI QIDQ4266720

Pau Salsas, Ramon Alemany, Montserrat Guillen

Publication date: 17 February 2000

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

Full work available at URL: https://doi.org/10.1080/03610929908832366

zbMATH Keywords

outlierpenalized likelihoodlogit model

Mathematics Subject Classification ID

Diagnostics, and linear inference and regression (62J20)

Related Items (2)

Approximated Perfect Values in Logistic Regression for Prediction and Outlier Detection ⋮ Diagnostics of multiple group influential observations for logistic regression models

Cites Work

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• Logistic regression diagnostics
• Misclassification of the dependent variable in a discrete-response setting
• Graphical Methods for Assessing Logistic Regression Models
• Generalized Linear Model Diagnostics Using the Deviance and Single Case Deletions
• Detection of Influential Observation in Linear Regression
• Perfect cells, direct models and contingency table outliers

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