On MSE-optimal crossover designs

dc.contributor.author	Neumann, Christoph
dc.contributor.author	Kunert, Joachim
dc.date.accessioned	2017-01-06T12:30:55Z
dc.date.available	2017-01-06T12:30:55Z
dc.date.issued	2017
dc.description.abstract	In crossover designs, each subject receives a series of treatments one after the other. Most papers on optimal crossover designs consider an estimate which is corrected for carryover effects. We look at the estimate for direct effects of treatment, which is not corrected for carryover effects. If there are carryover effects, this estimate will be biased. We try to find a design that minimizes the mean square error, that is the sum of the squared bias and the variance. It turns out that the designs which are optimal for the corrected estimate are highly efficient for the uncorrected estimate.	en
dc.identifier.uri	http://hdl.handle.net/2003/35743
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-17771
dc.language.iso	en	de
dc.relation.ispartofseries	Discussion Paper / SFB823;1, 2017	en
dc.subject	optimal design	en
dc.subject	MSE-optimality	en
dc.subject	crossover design	en
dc.subject.ddc	310
dc.subject.ddc	330
dc.subject.ddc	620
dc.subject.rswk	Optimale Versuchsplanung	de
dc.subject.rswk	Mittlerer quadratischer Fehler	de
dc.title	On MSE-optimal crossover designs	en
dc.type	Text	de
dc.type.publicationtype	workingPaper	de
dcterms.accessRights	open access

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