A note on deletion diagnostics for estimating equations

John S. Preisser, Bahjat F. Qaqish, Jamie Perin

Research output: Contribution to journalArticlepeer-review

Abstract

We describe an algorithm based upon the Sherman-Morrison-Woodbury formula for the inversion of matrices with special structure that occur in formulae for deletion diagnostics. Substantial computational savings relative to a method based upon Cholesky's decomposition are illustrated. The result has broad application to regression diagnostics for clustered data.

Original languageEnglish (US)
Pages (from-to)509-513
Number of pages5
JournalBiometrika
Volume95
Issue number2
DOIs
StatePublished - Jun 2008
Externally publishedYes

Keywords

  • Generalized estimating equation
  • Influence
  • Matrix inversion
  • One-step approximation
  • Regression diagnostic

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Agricultural and Biological Sciences(all)
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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