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Local Influence Analysis in AB–BA Crossover Designs
Stockholm University, Faculty of Social Sciences, Department of Statistics.
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2014 (English)In: Scandinavian Journal of Statistics, ISSN 0303-6898, E-ISSN 1467-9469, Vol. 41, no 4, 1153-1166 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2014. Vol. 41, no 4, 1153-1166 p.
Keyword [en]
explicit maximum likelihood estimate, influential observation, mixed linear model, perturbation scheme, statistical diagnostics
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-108084DOI: 10.1111/sjos.12090ISI: 000344860800017OAI: oai:DiVA.org:su-108084DiVA: diva2:753744
Available from: 2014-10-08 Created: 2014-10-08 Last updated: 2017-12-05Bibliographically approved

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Hao, Chengchengvon Rosen, Tatjana
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