Delete-2 Jackknife-After-Bootstrap in Regression

Delete-2 Jackknife-After-Bootstrap in Regression

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Article ID: iaor201523864
Volume: 30
Issue: 7
Start Page Number: 993
End Page Number: 1002
Publication Date: Nov 2014
Journal: Quality and Reliability Engineering International
Authors: ,
Keywords: simulation: applications
Abstract:

In this study, we propose a delete‐2 jackknife‐after‐bootstrap method to refine the cut‐offs for the well‐known diagnostic measure Cook's distance when the data have multiple influential data points with masking and swamping effects. The performance of the proposed method is compared with one of the most recent approaches in the literature through real world examples as well as a designed simulation study.

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