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A multi-row deletion diagnostic for influential observations in small-sample regressions

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Publication:1658468
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DOI10.1016/j.csda.2016.10.007zbMath1466.62111OpenAlexW2541729335MaRDI QIDQ1658468

Graham A. Davis, Daniel T. Kaffine

Publication date: 14 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2016.10.007


zbMATH Keywords

outliersinstitutionsinferenceregression diagnosticsgrowth regressionsinfluence pointsmulti-row deletionresource curse


Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)


Related Items

2nd special issue on robust analysis of complex data


Uses Software

  • Stata
  • rreg


Cites Work

  • Unnamed Item
  • Unnamed Item
  • Income distribution and inequality measurement: the problem of extreme values
  • Mixtures of \(g\)-priors for Bayesian model averaging with economic applications
  • A Hausman-type test to detect the presence of influential outliers in regression analysis
  • Heuristics of instability and stabilization in model selection
  • A Monte Carlo study of growth regressions
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