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Local Influence Analysis in AB–BA Crossover Designs
Authors:Chengcheng Hao  Dietrich von Rosen  Tatjana von Rosen
Institution:1. Department of Statistics, Stockholm University;2. Department of Energy and Technology, Swedish University of Agricultural Sciences;3. Department of Mathematics, Link?ping 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
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