Jackknife-after-bootstrap regression influence diagnostics
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Publication:5189273
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
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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