Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

DOI10.1080/03610918.2013.783068zbMath1462.62200OpenAlexW1985531542MaRDI QIDQ2876125

Aylin Alin, Ufuk Beyaztas

Publication date: 18 August 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.783068

zbMATH Keywords

bootstraprobustnesslogistic regressionmaskingdiagnosticsjackknife

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09) Diagnostics, and linear inference and regression (62J20)

Related Items (2)

Influence diagnostics in gamma ridge regression model ⋮ Influence measures in beta regression models through distance between distributions

Uses Software

• R

Cites Work

• Unnamed Item
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• Logistic regression diagnostics
• Bootstrap methods: another look at the jackknife
• Identification of Multiple Outliers in Logistic Regression
• Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models
• Jackknife-after-bootstrap regression influence diagnostics
• THE ESTIMATION FROM INDIVIDUAL RECORDS OF THE RELATIONSHIP BETWEEN DOSE AND QUANTAL RESPONSE

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