Abstract

The aim of this article is to develop methodology for detecting influential observations in crossover models with random individual effects. Various case-weighted perturbations are performed. We obtain the influence of the perturbations on each parameter estimator and on their dispersion matrices. The obtained results exhibit the possibility to obtain closed-form expressions of the influence using the residuals in mixed linear models. Some graphical tools are also presented.

Keywords

explicit maximum likelihood estimate; influential observation; mixed linear model; perturbation scheme; statistical diagnostics

Published in

Scandinavian Journal of Statistics
2014, Volume: 41, number: 4, pages: 1153-1166
Publisher: WILEY-BLACKWELL

SLU Authors

• von Rosen, Dietrich

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    
  • Linköping University

UKÄ Subject classification

Probability Theory and Statistics


Publication identifier

DOI: https://doi.org/10.1111/sjos.12090

Permanent link to this page (URI)

https://res.slu.se/id/publ/66421