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Local Influence Analysis in AB-BA Crossover Designs
Stockholm University, Sweden.
Linköping University, Department of Mathematics, Mathematical Statistics . Linköping University, The Institute of Technology.
Stockholm University, Sweden.
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
Wiley: 12 months , 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
URN: urn:nbn:se:liu:diva-113009DOI: 10.1111/sjos.12090ISI: 000344860800017OAI: diva2:779064

Funding Agencies|Swedish Research Council [2010-18915-75688-45]; Estonian Science Foundation [ETF8294]

Available from: 2015-01-12 Created: 2015-01-08 Last updated: 2015-01-12

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von Rosen, Dietrich
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Mathematical Statistics The Institute of Technology
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