An efficient and high breakdown procedure for model criticism

Joseph W. McKean, Joshua D. Naranjo, Simon J. Sheather

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Part of a linear model analysis is the examination of the appropriateness of the chosen model. We propose an exploratory model criticism procedure that exposes hidden outliers, clusters of outliers, or underlying curvature by using diagnostics that exploit the differences between an efficient robust fit and a high breakdown fit. Examples illustrate the procedure.

Original languageEnglish
Pages (from-to)2575-2595
Number of pages21
JournalCommunications in Statistics - Theory and Methods
Issue number11
StatePublished - 1996


  • Diagnostics
  • GR-Estimates
  • Influential points
  • Outliers
  • R-Estimates
  • Residual plots
  • Robust
  • Wilcoxon-Estimates

ASJC Scopus subject areas

  • Statistics and Probability


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