von Rosen, Dietrich
- Institutionen för energi och teknik, Sveriges lantbruksuniversitet
- Linköpings universitet
Sammanfattning
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.
Nyckelord
explicit maximum likelihood estimate; influential observation; mixed linear model; perturbation scheme; statistical diagnostics
Publicerad i
Scandinavian Journal of Statistics
2014, volym: 41, nummer: 4, sidor: 1153-1166
Utgivare: WILEY-BLACKWELL
SLU författare
UKÄ forskningsämne
Sannolikhetsteori och statistik
Publikationens identifierare
- DOI: https://doi.org/10.1111/sjos.12090
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/66421