Jackknife-after-bootstrap regression influence diagnostics

DOI10.1080/10485250903287906zbMath1182.62151OpenAlexW2155494176MaRDI QIDQ5189273

Michael A. Martin, Steven Roberts

Publication date: 15 March 2010

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250903287906

zbMATH Keywords

bootstrapregressiondiagnosticsleverageCook's distanceDFBETASDFFITSCOVRATIO

Mathematics Subject Classification ID

Nonparametric statistical resampling methods (62G09) Diagnostics, and linear inference and regression (62J20)

Related Items (7)

Robust BCa–JaB method as a diagnostic tool for linear regression models ⋮ Unnamed Item ⋮ Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models ⋮ Jackknife-After-Bootstrap Method for Detection of Influential Observations in Linear Regression Models ⋮ DELETE-2 AND DELETE-3 JACKKNIFE PROCEDURES FOR UNMASKING IN REGRESSION ⋮ Influence measures in beta regression models through distance between distributions ⋮ Jackknife-After-Bootstrap as Logistic Regression Diagnostic Tool

Cites Work

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• Bootstrap methods: another look at the jackknife
• Cook's distance in spline smoothing
• An evaluation of bootstrap methods for outlier detection in least squares regression
• Regression Model Diagnostics
• Detection of Influential Observation in Linear Regression
• Influential Observations in Linear Regression
• The distribution of cook's d statistic
• Theory and illustration of regression influence diagnostics
• Influence Diagnostics and Outlier Tests for Semiparametric Mixed Models
• Masking unmasked

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