Diagnostics for mixed – model analysis of variance

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Abstract

We describe a new method for assessment of model inadequacy in maximum-likelihood mixed-model analysis of variance. In particular, we discuss its use in diagnosing perturbations from the usual assumption of constant error variance and from the assumption that each realization of a given random factor has been drawn from the same normal population. Computer implementation of the procedure is described, and an example is presented, involving the analysis of filter cartridges used with commercial respirators.

Original languageEnglish (US)
Pages (from-to)413-426
Number of pages14
JournalTechnometrics
Volume29
Issue number4
DOIs
StatePublished - Nov 1987

Keywords

  • Curvature
  • Likelihood displacement
  • Local influence
  • Random effects

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