von Rosen, Dietrich
- Department of Energy and Technology, Swedish University of Agricultural Sciences
- Linköping University
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
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