Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models
type: Item
instance of: scholarly article
title: Sufficient jackknife-after-bootstrap method for detection of influential observations in linear regression models
zbMATH Open document ID: 1306.62081
author: Ufuk Beyaztas
author: Aylin Alin
published in: Statistical Papers
publication date: 2014-10-24T00:00:00Z
Mathematics Subject Classification ID: 62F40
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 6360955
zbMATH Keywords: sufficient bootstrap
zbMATH Keywords: jacknife
zbMATH Keywords: bootstrap
zbMATH Keywords: influential observation
zbMATH Keywords: regression diagnostics
MaRDI profile type: Publication
full work available at URL: s00362-013-0548-4
OpenAlex ID: W2060574170
cites work: Q4185649
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cites work: Detection of Influential Observation in Linear Regression
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cites work: Q3678498
cites work: Q3750781
cites work: Q4203245
cites work: Influence diagnostics for the Grubbs's model
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cites work: Q4692741
cites work: Sufficient bootstrapping
DOI: 10.1007/S00362-013-0548-4
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description: scientific article; zbMATH DE number 6360955